IBBVision AI Model Trainer

IBBVision AI Model Trainer is a professional desktop software that enables you to develop your own custom object detection models without writing a single line of code. Simply upload your images, label the objects, start the training process, and obtain a production-ready artificial intelligence model.

This product has been specifically developed for devices within the IBBVision ecosystem. Models you develop with IBBVision AI Model Trainer allow you to create AI Vision Analysis Modules and enhance existing modules, exclusively for use on IBBVision devices and within the IBBVision Deep Learning Surveillance software.

Offered as a licensed product, this software is a vital component of the IBBVision product family.

Why IBBVision AI Model Trainer?

Developing an AI model using traditional methods involves numerous technical steps: image collection, labeling, coding, dataset preparation, tuning training parameters, and testing. This process can take weeks and requires specialized expertise.

IBBVision AI Model Trainer consolidates all these steps into a single program. You can develop your model through an intuitive visual interface—no coding required. The models you develop integrate seamlessly into the IBBVision ecosystem and can be used directly within IBBVision Deep Learning Surveillance software.

What Can You Do?

With the program, you can develop AI Vision Analysis Modules that detect any type of object, including:

• Consumer products (cola cans, water bottles, juice boxes)

• Security elements (people, vehicles, helmets, vests)

• Industrial parts (machine components, product defects)

• Agricultural products (fruits, plants)

• Anything you need for your custom projects

You can detect multiple different objects within the same model. The modules you develop are designed for use with IBBVision Deep Learning Surveillance software.

How Does It Work?

Using the program consists of four fundamental steps:

1. Project Creation

You create a new project in the program and define the objects (classes) you want to detect—for example, "cola can" and "water bottle."

2. Image Uploading and Labeling

You upload your images into the program. For each image, you draw rectangular bounding boxes around the objects you want to detect using your mouse. You assign each box to its corresponding object class. If you have a large number of images, you can take advantage of the auto-labeling feature.

3. Model Training

Once labeling is complete, click the "Start Training" button. Configure a few settings—such as model selection and number of epochs—and start the training process. You can monitor the progress on-screen in real time. Upon completion, the most successful model is automatically saved.

4. Testing and Deployment

Test your trained model on new images, video files, or live camera feeds. If you are satisfied with the results, you can transfer the model directly to your IBBVision devices and begin using it within IBBVision Deep Learning Surveillance software.

Key Features

Zero Coding Required
Open the program and perform all operations with mouse clicks—no programming knowledge necessary.

Auto-Labeling
You don't have to label hundreds of images manually one by one. First, manually label a small set of images and train an initial model. The program then uses this model to automatically label the remaining images—you only need to correct any mislabeled ones.

Video Frame Extraction
Automatically extract image frames from video files, allowing you to quickly convert your existing video recordings into a dataset.

Active Learning
The program identifies which images your model struggles with the most and presents them to you. By correcting these images and retraining, you can continuously improve your model's performance.

Model Versioning
Every training session is saved as a separate version. You can compare the performance of different versions and revert to any previous version at any time.

Multi-Format Export Support
Export your trained models in various formats, including PyTorch, ONNX, TensorRT, CoreML, and TFLite.

IBBVision Integration
Send your trained models directly to IBBVision Edge, DLS, and DLN devices. With remote update support, you can update your devices without physically visiting them. All your developed modules work seamlessly with IBBVision Deep Learning Surveillance software.

Automatic Backup
Your projects are automatically backed up. You can restore from a backup at any time.

Who Can Use It?

The program caters to everyone—from users with no AI background to expert developers. It is specifically designed for all users of the IBBVision ecosystem.

Security Professionals – Develop person, vehicle, helmet, and vest detection models.

Industrial Users – Perform product quality control, defective product detection, and production line analysis.

Agricultural Professionals – Conduct fruit detection, diseased area identification, and crop counting.

Retail Sector – Implement product detection, shelf analysis, and inventory management.

Custom Projects – Develop tailor-made object detection models for any client-specific need.

System Requirements

The program runs on Windows 10 and Windows 11 computers.

• Processor: Intel Core i5 or equivalent (recommended: i7 or Ryzen 7)

• RAM: Minimum 8 GB (recommended: 16 GB)

• Storage: Minimum 20 GB free space (recommended: 50 GB or more)

• Graphics Card: Recommended: NVIDIA GTX 10xx series or higher, 6 GB VRAM

A graphics card (GPU) is not mandatory, but it significantly accelerates training. Without a GPU, training may take 10–20 times longer.

Where Can You Use Your Models?

You can primarily use your trained models within the IBBVision ecosystem:

• IBBVision Edge devices

• IBBVision DLS and DLN systems

• IBBVision Deep Learning Surveillance software

Additionally, by exporting the model in different formats, you can use it in:

• Your own Python projects

• Other programming languages via ONNX format (C++, C#, Java)

• Mobile devices (CoreML for iOS, TFLite for Android)

• Web applications

Why Choose IBBVision AI Model Trainer?

• Exclusive to IBBVision Ecosystem: All your developed models are fully compatible with IBBVision devices and Deep Learning Surveillance software.

• Simple: All operations are performed via a visual interface—no coding required.

• Fast: Reduces model development time from weeks to days or even hours.

• Professional: Achieve high accuracy rates with advanced YOLOv8 technology.

• Flexible: Develop models that detect any object you need.

• Secure: Your data never leaves your computer—it remains entirely under your control.

• Scalable: Suitable for everything from small experiments to large enterprise projects.

IBBVision AI Model Trainer is a proprietary product licensed under IBBVision. All rights reserved.

IBBVision AI Suspicious Bag Detection

Suspicious Bag Detection is an AI-powered analysis module that analyzes security camera footage in real time and automatically detects objects such as bags, suitcases, packages, and similar items that have been left unattended, abandoned, or forgotten in an area. This module is also referred to as "Abandoned Object Detection" or "Unattended Item Detection."

This module continuously monitors and analyzes objects within the camera's field of view. It detects when an object is left by a person, that person subsequently moves away from the object, and the object remains stationary for a specified period of time. This situation is assessed as a potential security threat, and the system immediately generates an alarm.

What Situations Does It Detect?

The Suspicious Bag Detection module can detect the following situations and scenarios:

1. Abandoned Objects:

• Unattended Bags: A person leaving their bag or suitcase behind and walking away. This poses a security risk, especially in crowded areas such as airports, train stations, and shopping malls.

• Forgotten Items: Items left absentmindedly by a person and not retrieved. These may include wallets, backpacks, shopping bags, and similar objects.

• Suspicious Packages and Boxes: Packages, parcels, backpacks, briefcases, and similar objects that have no apparent owner and are not claimed by anyone. Such items are prioritized as they may pose a security threat.

• Objects Remaining Stationary for Extended Periods: Objects that do not move for a specified duration (e.g., 5–10 minutes) and have no one nearby.

2. Unattended Object Behaviors:

• Placement and Departure: A person placing an object on the ground and then moving away from it. This behavior is the most apparent indicator that an object has been abandoned.

• Increasing Distance Between Object and Owner: The distance between a person and their belonging gradually increasing. As the person moves away, the object is classified as "abandoned."

• Unattended Item: An object with no one in its vicinity for an extended period.

3. Risky Situations Encountered in Public Areas:

• Unattended Items in High-Traffic Areas: Suspicious objects left in crowded locations such as bus stops and metro entrances.

• Event and Festival Areas: Suspicious items left at mass gatherings such as concerts, festivals, and rallies.

• Near Critical Infrastructure: Objects left close to sensitive areas such as government buildings, embassies, and energy facilities.

How Does It Work?

The Suspicious Bag Detection module utilizes deep learning and video analysis technologies. The system operates according to the following stages:

1. Object Tracking and Recognition: The system detects and classifies all objects (people, bags, suitcases, packages, etc.) in the camera image. Each object is labeled with a unique identifier, and its movements are tracked.

2. Motion and Location Analysis: The system continuously analyzes whether each object is moving and how long it has remained in the same location. Objects that remain stationary are flagged as potential "suspicious" candidates.

3. Owner-Object Relationship Analysis: When an object remains stationary, the system attempts to identify the person who left it. When that person moves away from the object and the object remains stationary for a specified period, it is classified as "abandoned."

4. Timeout Check: When an object remains stationary for a specified duration (e.g., 30 seconds, 1 minute, or 5 minutes) and its owner is not nearby, the system evaluates it as "suspicious." This duration is user-configurable.

5. Alarm and Notification: When a suspicious object is detected, the system automatically generates an alarm. The moment of the event is recorded, and security personnel are notified immediately.

Where Is It Used?

Suspicious Bag Detection is used particularly in areas where security is critical and crowds are dense:

1. Transportation Hubs:

• Airports: Terminal entrances, waiting lounges, baggage claim areas. These are among the most critical areas for detecting abandoned suitcases and bags.

• Train and Metro Stations: Platforms, waiting areas, and areas in front of ticket counters.

• Bus Terminals and Stops: Areas with high passenger traffic.

• Ports and Piers: Ship terminals and passenger waiting lounges.

2. Public Spaces and Gathering Places:

• Shopping Malls: Entrances, corridors, food courts, and seating areas.

• Museums and Exhibition Halls: Exhibition areas and entry/exit points.

• Concert and Festival Areas: Zones with high participant traffic.

• Sports Stadiums: Stand entrances, corridors, and waiting areas.

• Parks and Squares: Detection of abandoned objects in open areas.

3. Corporate and Commercial Areas:

• Corporate Buildings: Entrances, lobbies, and visitor waiting areas.

• Banks and Financial Institutions: Customer waiting areas and ATM zones.

• Hotels and Accommodation Facilities: Reception areas, lounges, and foyers.

4. Educational and Healthcare Institutions:

• Schools and Campuses: Entrances, corridors, cafeterias, and libraries.

• Hospitals: Emergency room waiting areas, entrances, and corridors.

5. Critical Infrastructure and Government Buildings:

• Public Buildings and Municipalities: Visitor entrances and waiting halls.

• Courthouses and Courts: Entrances and waiting areas.

• Energy Facilities: Entry points and perimeter fencing.

Advantages Provided

• Preventive Security: An abandoned bag or package could potentially contain explosives or pose another threat. This module detects suspicious objects at an early stage, enabling security teams to take preventive action before an incident occurs.

• Rapid Intervention: The system alerts security personnel as soon as a suspicious object is detected. Security teams can be quickly dispatched to the location of the object. In areas such as airports and stations, rapid intervention is critically important.

• Uninterrupted 24/7 Surveillance: Unlike human operators, the system operates continuously without fatigue or distraction. It remains actively monitoring during peak hours, at night, or when staffing levels are low.

• Low False Alarm Rate: Advanced AI algorithms successfully distinguish between temporarily placed items (e.g., a bag briefly set down by a person) and genuinely abandoned objects. The false alarm rate is kept to a minimum.

• Automatic Recording and Evidence Preservation: All suspicious object events are automatically recorded. The exact time, location, footage, and duration of the event are logged. These records can be used as evidence for post-incident review, investigation, and legal proceedings.

• Reduced Personnel Workload: It is practically impossible for security personnel to continuously monitor dozens of screens. The system automatically detects suspicious objects, allowing personnel to focus solely on genuine incidents. This increases workforce efficiency.

• Protection of Institutional Reputation: Early detection and prevention of security threats demonstrate that an organization provides a safe and secure environment. This positively contributes to customer, visitor, and employee satisfaction.

System Requirements

The software works in conjunction with IBBVision Deep Learning Surveillance software installed on Edge AI Vision Computer devices. It is not a standalone product.

If you have an Edge AI Vision Computer device with IBBVision Deep Learning Surveillance software already installed, no additional installation is required.

The module is licensed on an annual basis.

Frequently Asked Questions

Q: Does the Suspicious Bag Detection module also detect temporarily placed items as suspicious?

A: No. The system analyzes how long an item has remained stationary and how far its owner has moved away. Short-term placements (e.g., a person briefly setting down their bag) generally do not trigger an alarm. If an item remains stationary for a specified period and the owner moves away, the system generates an alarm. This duration is user-configurable.

Q: In which areas is the module most effective?

A: Suspicious Bag Detection delivers the most effective results in crowded and high-traffic areas such as airports, train stations, bus terminals, shopping malls, concert venues, stadiums, public buildings, and corporate facilities.

Q: How does the system determine the owner of an object?

A: The system uses motion analysis to identify the person who left the object. When a person places an object and walks away, the system tracks the relationship between that person and the object. If the person moves away and the object remains stationary for a specified period, the object is classified as "abandoned."

Q: What types of objects can be detected?

A: The system can detect a wide variety of objects, including bags, suitcases, backpacks, briefcases, packages, parcels, shopping bags, strollers, umbrellas, and more. Detection capabilities can be enhanced depending on the data on which the AI model is trained.

Q: Can the system operate in nighttime darkness?

A: Yes, with advanced image processing algorithms, it can operate under low-light conditions. However, for optimal performance, adequate lighting or the use of cameras with night vision capabilities is recommended.

Q: Through which notification mechanisms are detected suspicious objects communicated?

A: Detected suspicious objects are immediately displayed on the operator screen with visual marking. The footage of the event is recorded, and notifications are sent to the operator. Optionally, additional communication channels such as audible alarms, email, or mobile notifications can also be used. Furthermore, integration with third-party security systems is supported via webhook.

Q: Can multiple suspicious objects be detected simultaneously?

A: Yes. The system independently tracks multiple objects within the same field of view. Each suspicious object is detected separately, and individual alarms are generated.

The Suspicious Bag Detection module is a critical AI solution addressing today's increasing security needs. By providing early warning against terrorist attacks, sabotage attempts, and theft incidents, it makes a significant contribution to public safety.

Thanks to its modular structure, this module can be easily added to existing Deep Learning Surveillance systems. With its 24/7 uninterrupted operation, low false alarm rate, instant notification capabilities, and automatic recording advantages, it is one of the most valuable tools for security teams. It can be effectively deployed in all high-traffic areas, including airports, shopping malls, public transportation hubs, government buildings, and tourist facilities.

The Suspicious Bag Detection module is part of the IBBVision Deep Learning Surveillance software. The module's performance may vary depending on the hardware specifications of the Edge AI Vision Computer device, the number of cameras, and other concurrently running modules.

IBBVision AI Fight and Violence Detection

Fight and Violence Detection is an AI-powered analysis module that analyzes security camera footage in real time and automatically detects physically violent behaviors between individuals, including fights, pushing, punching, kicking, and similar actions.

This module continuously analyzes human body movements, body postures, motion speed, and physical interactions between people. It can distinguish between behaviors considered normal and those involving violence. The moment a fight or violent incident occurs, the system instantly recognizes it and sends an urgent notification to security personnel.

What Situations Does It Detect?

The Fight and Violence Detection module can detect the following types of violence and related situations:

1. Physical Violence:

• Punching: One person striking another with a fist. This is detected as a rapid and forceful arm movement.

• Kicking: One person striking another with a kick. Detected as the rapid and uncontrolled use of leg muscles.

• Pushing and Shoving: Individuals pushing, shoulder-barging, or jostling one another. These behaviors are typically seen in the early stages of a fight.

• Choking: One person grabbing or squeezing another's neck. Assessed as a serious violent act posing a life-threatening risk.

• Striking with a Hard Object: A person using an object in their hand (stick, bottle, stone, chair, etc.) against another person.

2. Group Violence:

• Mass Brawls: Uncontrolled fighting situations involving more than two people.

• Gang Confrontations: Situations where multiple groups engage in mutual violence.

• Lynching Attempts: Situations where multiple individuals attack a single person.

3. Other Violent Behaviors:

• Throwing Objects: A person angrily throwing objects or hurling items to the ground.

• Breaking Objects: Kicking, punching, or throwing items to break them.

• Defensive and Fleeing Movements: A person assuming a defensive posture or attempting to flee as the victim of violence.

• Verbal Escalation to Violence: Detecting the risk of a verbal argument escalating into physical violence. Elements such as abnormally loud voices and aggressive body language are analyzed.

How Does It Work?

The Fight and Violence Detection module utilizes deep learning, motion analysis, and human body posture analysis technologies:

1. Body Movement Analysis: The system continuously tracks the main joint points of the human body (head, shoulders, elbows, hands, knees, feet). It analyzes the relative positions of these points, their movement speed, and direction.

2. Speed and Sudden Movement Detection: The most significant difference between normal movements and violent actions is the speed and abruptness of the motion. Actions such as punches and kicks occur very rapidly. The system detects sudden, uncontrolled movements that exceed normal motion speed.

3. Distance and Interaction Between Two People: How close are two people to each other? Are they in physical contact? Does this contact involve violence? The system answers these questions through analysis. The difference between normal social distancing and violent close contact is determined.

4. Body Language and Posture Analysis: The difference between aggressive body language and normal posture is detected. Behaviors such as clenching fists, pulling back to strike, and assuming defensive positions are analyzed.

5. Audio and Noise Analysis: With integrated audio analysis, violent sounds such as shouting and screaming can also be detected (optional).

6. Time and Duration Analysis: Data such as how long a violent incident lasts and how many times it is repeated are also analyzed. Prolonged violent incidents are assessed as more critical.

Where Is It Used?

Fight and Violence Detection can be used in many areas where security is a priority and there is a risk of violence:

1. Public Spaces and Public Transportation:

• Metro and Train Stations: Detection of fights and violent incidents occurring in crowded environments.

• Bus Terminals and Stops: Detection of arguments and violent incidents among passengers.

• Squares and Parks: Monitoring violent incidents occurring in open areas.

2. Educational Institutions:

• Schools: Detection of fights, bullying, and violent incidents among students.

• Campuses: Detection of violent incidents among university students and in the vicinity of the school.

• Gymnasiums: Detection of violent incidents during or after student sports activities.

3. Healthcare Institutions:

• Hospitals: Detection of violent incidents in emergency rooms, among patient relatives, or between staff and patients.

• Psychiatric Clinics: Detection of violent behavior between patients or directed at staff.

4. Entertainment and Social Venues:

• Nightclubs and Bars: Detection of fights and violent incidents occurring under the influence of alcohol.

• Sports Stadiums: Detection of fights and violent incidents among fans.

• Concert Venues: Detection of violent incidents occurring in dense crowds.

5. Retail and Commercial Areas:

• Shopping Malls: Detection of violent incidents between customers or between customers and staff.

• Supermarkets: Detection of fights and arguments at checkout lines or in aisles.

6. Industrial Areas and Workplaces:

• Manufacturing Facilities: Detection of violent incidents between personnel or between personnel and management.

• Warehouses: Detection of violent incidents among employees.

7. Hotels and Accommodation Facilities:

• Hotels: Detection of violent incidents between guests or between guests and staff.

• Restaurants and Cafés: Detection of violent incidents among customers or staff.

Advantages Provided

• Immediate Intervention Capability: The system alerts security personnel the moment a fight or violent incident begins. Security teams are directed to the scene as quickly as possible. In violent incidents, every passing second increases the risk of injury.

• Preventive Security: The system can detect not only the moment of an incident but also aggressive behaviors exhibited prior to violence. This allows preventive measures to be taken before a violent incident occurs.

• Uninterrupted 24/7 Surveillance: Unlike human operators, the system operates continuously without fatigue or distraction. It remains active during nighttime hours or when staffing levels are low.

• Low False Alarm Rate: Advanced AI algorithms successfully distinguish between non-violent physical contact (handshakes, shoulder bumps, hugs, etc.) and actual violent incidents.

• Automatic Recording and Reporting: All violent incidents are automatically recorded. The exact time, location, footage, and duration of the event are logged. These records serve as evidence for post-incident review, legal proceedings, and reporting.

• Personnel Safety: Provides an additional layer of security, especially for healthcare workers, security personnel, teachers, and service industry employees. Enables rapid response in cases where employees are subjected to violence.

• Evidence for Insurance and Legal Proceedings: Footage of violent incidents is recorded and can be used as evidence in legal proceedings, insurance claims, and criminal investigations.

• Protection of Institutional Reputation: Rapid detection and intervention in violent incidents demonstrate that an organization provides a safe and peaceful environment. Resolving incidents before they escalate protects institutional reputation.

System Requirements

The software works in conjunction with IBBVision Deep Learning Surveillance software installed on Edge AI Vision Computer devices. It is not a standalone product.

If you have an Edge AI Vision Computer device with IBBVision Deep Learning Surveillance software already installed, no additional installation is required.

The module is licensed on an annual basis.

Frequently Asked Questions

Q: Does the Fight and Violence Detection module detect playful or joking actions as violence?

A: No. The system is trained to distinguish between playful, joking, or friendly physical contact and actual violent behavior. Accurate detection is achieved by analyzing the speed, force, frequency, and body language of the individuals involved.

Q: In which areas is the module most effective?

A: The Fight and Violence Detection module delivers the most effective results in crowded, high-risk areas such as nightclubs, schools, hospitals, stadiums, public transportation hubs, shopping malls, and industrial facilities.

Q: What happens if multiple people are fighting simultaneously?

A: The module independently tracks multiple individuals within the same field of view. Each violent incident is detected separately, and separate alarms are generated. In mass brawl situations, all parties are analyzed individually.

Q: Can it also perform audio analysis?

A: Optionally, integrated audio analysis can detect violent sounds such as shouting, screaming, and glass breaking. This feature provides an additional layer of security, particularly in areas with limited camera angles.

Q: Can the system operate in nighttime darkness?

A: Yes, with advanced image processing algorithms, it can operate under low-light conditions. However, for optimal performance, adequate lighting or the use of cameras with night vision capabilities is recommended.

Q: Through which notification mechanisms are detected violent incidents communicated?

A: Detected fights or violent incidents are immediately displayed on the operator screen with visual marking. Simultaneously, notifications are sent to the operator. Optionally, additional communication channels such as audible alarms, email, or mobile notifications can also be used. Integration with third-party systems is supported via webhook.

Q: Does this module completely eliminate the need for security personnel?

A: No. This module is a vital aid for security personnel. By removing the need for staff to continuously monitor dozens of screens, it enables them to focus solely on genuine incidents. The system alerts personnel when an event is detected, and personnel then intervene.

The Fight and Violence Detection module is a critical AI solution addressing today's increasing security needs. The rapid detection of violent incidents reduces post-incident response times, mitigates the impact of injuries, and saves lives.

Thanks to its modular structure, this module can be easily added to existing Deep Learning Surveillance systems, elevating institutional security standards. With its 24/7 uninterrupted operation, low false alarm rate, instant notification capabilities, and automatic recording advantages, it is one of the most valuable tools for security teams.

It can be effectively deployed in all environments where there is a risk of violence, including educational institutions, healthcare facilities, entertainment venues, public transportation hubs, and industrial facilities. Beyond security, the system is of great importance for preventing violent incidents and providing evidence in legal proceedings.

The Fight and Violence Detection module is part of the IBBVision Deep Learning Surveillance software. The module's performance may vary depending on the hardware specifications of the Edge AI Vision Computer device, the number of cameras, and other concurrently running modules.

Real-Time Tracking • AI-Powered Analysis • Easy Installation

IBBVision Drone Detection Software is an innovative AI-powered video analytics solution capable of real-time drone detection using four IP cameras. This system enhances your existing security infrastructure with airspace monitoring and threat analysis capabilities, instantly detecting unauthorized drone activity, reporting critical events, and recording them.

Features

• Real-Time Drone Detection: Instantly identifies drones of various sizes and speeds.

• AI-Powered Recognition: Utilizes advanced modeling architecture to deliver high accuracy and reduce false positives caused by birds and similar objects.

• Easy Installation: User-friendly interface allows for setup within minutes and immediate operation.

• RTSP Camera Compatibility: Fully compatible with standard IP cameras supporting the RTSP protocol.

• RTSP Camera Capacity: Supports 4 simultaneous live camera connections.

• Alarm and Recording Functionality: Automatically triggers visual alerts and recording upon specific drone detections.

• Lightweight System Requirements: Optimized for high performance on systems with minimal hardware resources.

• Real-Time Video Analysis: Performs synchronous analysis across 4 live video streams.

Application Areas

• Airports and military zones

• Power plants and critical infrastructure

• Industrial facilities and warehouses

• Government buildings and event venues

Package Contents

IBBVision Drone Detection Software is delivered with support for 4 IP cameras. Software installation is included in the package and the system is provided as ready-to-operate. Hardware setup services such as camera installation and PoE switch configuration are not included in the package.

IBBVision transforms your IP cameras from simple surveillance tools into an active airspace security solution. Designed to safeguard critical areas, it is a cost-effective, efficient, and high-tech option for institutions seeking enhanced control and protection.

Real-Time Tracking • AI-Powered Analysis • Easy Installation

IBBVision Drone Detection Software is an innovative AI-powered video analytics solution capable of real-time drone detection using three IP cameras. This system enhances your existing security infrastructure with airspace monitoring and threat analysis capabilities, detecting unauthorized drone movements instantly, reporting critical events, and recording incidents.

Features

• Real-Time Drone Detection: Instantly detects drones of various sizes and speeds.

• AI-Powered Recognition: Advanced modeling architecture ensures high detection accuracy and minimizes false positives from birds and similar objects.

• Easy Installation: Intuitive interface allows for installation and activation within minutes.

• RTSP Camera Compatibility: Fully integrates with standard IP cameras supporting the RTSP protocol.

• RTSP Camera Capacity: Supports up to 3 simultaneous live camera connections.

• Alarm and Recording Feature: Triggers automated alerts and initiates visual recording upon specific drone detections.

• Lightweight System Requirements: Optimized for high performance on low-resource hardware.

• Real-Time Video Analytics: Performs synchronous analysis on 3 live video streams.

Application Areas

• Airports and military zones

• Power plants and critical infrastructure

• Industrial facilities and storage sites

• Government buildings and event areas

Package Contents

IBBVision Drone Detection Software comes with support for 3 IP cameras. Software installation is included in the package, and the system is delivered fully operational. Hardware services such as camera installation and PoE switch setup are not included in the package.

IBBVision Drone Detection Software transforms your IP cameras from passive surveillance tools into active airspace monitoring solutions. It is a cost-effective, intelligent, and high-tech security system ideal for institutions seeking to enhance protection over sensitive areas.

Real-Time Tracking • AI-Powered Analysis • Easy Installation

IBBVision Drone Detection Software is an innovative AI-powered video analytics solution capable of real-time drone detection using two IP cameras. Enhancing your current security infrastructure with airspace surveillance and threat analysis capabilities, this system instantly detects unauthorized drone movements, reports critical events, and records incidents.

Features

• Real-Time Drone Detection: Instantly identifies various drone types regardless of size or speed.

• AI-Powered Recognition: Advanced modeling infrastructure provides high accuracy and minimizes confusion with birds or similar objects.

• Easy Installation: With a user-friendly interface, the system can be installed and operational within minutes.

• RTSP Camera Compatibility: Fully compatible with standard IP cameras supporting the RTSP protocol.

• RTSP Camera Capacity: Supports up to 2 live camera connections.

• Alarm and Recording Capability: Automatically triggers alerts and initiates visual recording upon specific drone detections.

• Lightweight System Requirements: Hardware-friendly design ensures high performance with minimal system resources.

• Real-Time Video Analysis: Performs simultaneous analysis on 2 live video streams.

Application Areas

• Airports and military zones

• Power plants and critical infrastructures

• Industrial facilities and storage areas

• Government buildings and event venues

Package Contents

IBBVision Drone Detection Software is delivered with support for 2 IP cameras. Software installation is included in the package, and the system is provided ready to operate. Hardware installation services such as camera mounting and PoE switch setup are not included.

IBBVision Drone Detection Software transforms your IP cameras from passive monitors into proactive airspace security tools. Ideal for organizations seeking to protect critical zones, this is an affordable, effective, and high-tech solution for boosting control and safety.

Real-Time Tracking • AI-Powered Analysis • Easy Installation

IBBVision Drone Detection Software is an innovative AI-powered video analytics solution capable of real-time drone detection using a single IP camera. Enhancing your existing security infrastructure with airspace monitoring and threat analysis capabilities, this system instantly identifies unauthorized drone activity, alerts critical situations, and records events.

Features

• Real-Time Drone Detection: Instantly detects drones of various sizes and speeds.

• AI-Powered Recognition: Utilizes advanced modeling infrastructure to deliver high accuracy and minimizes confusion with birds or similar objects.

• Easy Installation: Quick setup with a user-friendly interface; ready to operate within minutes.

• RTSP Camera Compatibility: Fully compatible with standard IP cameras supporting the RTSP protocol.

• RTSP Camera Capacity: Supports 1 live camera connection.

• Alarm and Recording Functionality: Triggers automatic alerts and captures visual records upon specific drone detections.

• Lightweight System Requirements: Optimized architecture ensures high performance with minimal hardware usage.

• Real-Time Video Analysis: Enables synchronized analysis on a single live video stream.

Application Areas

• Airports and military zones

• Power plants and critical infrastructures

• Industrial facilities and storage areas

• Government buildings and event venues

Package Contents

IBBVision Drone Detection Software is provided with support for one IP camera. The software is delivered as a ready-to-use system with installation included in the package. Hardware installation services, such as camera mounting and PoE switch setup, are not included.

IBBVision Drone Detection Software transforms your IP cameras from passive surveillance tools into active airspace monitoring solutions. Designed for organizations that need to secure critical zones, it is an affordable, effective, and high-tech solution for enhancing security and control.

Real-Time Tracking • AI-Powered Analysis • Easy Installation

IBBVision Aircraft Detection Software is an innovative AI-driven video analytics solution capable of real-time detection of airplanes and aerial vehicles using a single IP camera. Enhancing your existing security and monitoring infrastructure with airspace tracking and flight safety support, this system instantly detects airborne vehicles, issues critical alerts, and records visual evidence.

Features

• Real-Time Aircraft Detection: Detects various sizes and types of airplanes, helicopters, and drones instantly.

• AI-Powered Recognition: Offers high accuracy through advanced modeling, minimizing confusion with birds and similar objects.

• Easy Installation: User-friendly interface allows setup and operation within minutes.

• RTSP Camera Compatibility: Fully compatible with standard IP cameras supporting the RTSP protocol.

• RTSP Camera Capacity: Supports 1 live camera connection.

• Alarm and Recording Feature: Automatically triggers alerts upon aircraft detection and records relevant footage.

• Lightweight System Requirements: Hardware-friendly design ensures high performance with low system resources.

• Real-Time Video Analysis: Enables simultaneous analysis on 1 live video stream.

Application Areas

• Airports and flight zones

• Military bases and air defense areas

• Civil aviation facilities

• Air traffic monitoring centers

Package Contents

IBBVision Aircraft Detection Software is provided with support for 1 IP camera. Software installation is included in the package, and the system is delivered fully operational. Hardware installation services such as camera mounting and PoE switch setup are not included.

IBBVision Aircraft Detection Software transforms your IP cameras from simple monitoring devices into an advanced security solution actively analyzing airspace. It is an economical, effective, and high-tech solution for organizations aiming to enhance flight safety and environmental awareness.

Real-Time Tracking • AI-Powered Analysis • Easy Installation

IBBVision Fire Detection Software is an innovative AI-supported video analytics solution capable of real-time detection of fire and smoke using a single IP camera. Enhancing your existing security infrastructure with early warning and risk analysis capabilities, this system instantly detects fire indicators, issues critical alerts, and records evidence.

Features

• Real-Time Fire and Smoke Detection: Instantly detects flames, smoke, and temperature variations.

• AI-Powered Recognition: Provides high accuracy through advanced modeling, minimizing false alarms.

• Easy Installation: User-friendly interface allows setup and operation within minutes.

• RTSP Camera Compatibility: Fully compatible with standard IP cameras supporting the RTSP protocol.

• RTSP Camera Capacity: Supports 1 live camera connection.

• Alarm and Recording Feature: Automatically alerts and records visual evidence upon fire or smoke detection.

• Lightweight System Requirements: Hardware-friendly architecture delivers high performance with low system resource usage.

• Real-Time Video Analysis: Simultaneous analysis on 1 live video stream.

Application Areas

• Industrial facilities and storage areas

• Forests and national parks

• Shopping malls and large public buildings

• Power plants and critical infrastructure

Package Contents

IBBVision Fire Detection Software is supplied with support for 1 IP camera. Software installation is included, and the system is delivered ready-to-use. Hardware installation services such as camera mounting and PoE switch setup are not included.

IBBVision Fire Detection Software transforms your IP cameras from simple monitoring devices into an early warning and security solution. Playing a leading role in reducing fire risks, this system is an economical, effective, and high-tech choice for organizations aiming to improve security management.

Real-Time Tracking • AI-Powered Analysis • Easy Installation

IBBVision Drone Detection Software is an innovative AI-supported video analytics solution capable of real-time drone detection using a single IP camera. Enhancing your existing security infrastructure with airspace monitoring and threat analysis capabilities, this system instantly detects unauthorized drone movements, issues critical alerts, and records visual evidence.

Features

• Real-Time Drone Detection: Detects various drone types at different sizes and speeds instantly.

• AI-Powered Recognition: Offers high accuracy with advanced modeling, minimizing confusion with birds and similar objects.

• Easy Installation: User-friendly interface allows setup and operation within minutes.

• RTSP Camera Compatibility: Fully compatible with standard IP cameras supporting the RTSP protocol.

• RTSP Camera Capacity: Supports 1 live camera connection.

• Alarm and Recording Feature: Automatically alerts and records upon drone detection.

• Lightweight System Requirements: Hardware-friendly architecture provides high performance with low system resource usage.

• Real-Time Video Analysis: Simultaneous analysis on 1 live video stream.

Application Areas

• Airports and military zones

• Power plants and critical infrastructures

• Industrial facilities and storage areas

• Public buildings and event venues

Package Contents

IBBVision Drone Detection Software is supplied with support for 1 IP camera. Software installation is included, and the system is delivered ready-to-use. Hardware installation services such as camera mounting and PoE switch setup are not included.

IBBVision Drone Detection Software transforms your IP cameras from simple monitoring devices into an active airspace surveillance security solution. Playing a critical role in protecting sensitive areas, this system is an economical, effective, and high-tech solution for organizations aiming to enhance security and control.