Fight and Violence Detection

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.