Violence detection for smart surveillance systems
In 2023, the violent crime rate in the United States has been 363.8 cases tracked per 100,000 of the population. In addition, with the FBI’s transition to the new system that allows agencies to submit their reports voluntarily, these numbers may not accurately reflect the situation.
But what can be actually done against crime and assault?
Abto Software is suggesting a technology that leverages computer vision for automated violence detection. Object and subject detection, object counting, action detection, vehicle identification, and many other goals – easily achieved through integration with existing surveillance systems.
Let’s talk about supporting public safety by adopting modern technology.
What is violence detection?
Violence detection means identifying violent behaviors and incidents, typically within video and audio content. This includes mainly dissecting physical aggression – hitting, kicking, fighting, etc. – and harmful verbal threats.
Violence detection has been traditionally performed by reviewing available footage after spotting an incident. The digitization has changed manual-only routines – by adopting modern technology, we avoid human error, which means faster response to emergencies.
Let’s move to exploring violence detection AI solutions.
How can AI automate violence detection?
Artificial intelligence can improve violence detection by using various techniques, in particular computer vision. In practice, it’s trained on datasets to distinguish violent behavior – aggressive gestures, suspicious movement, and even raised voices.
Computer vision, after identifying matching patterns, can trigger instant alerts to notify corresponding teams. In general, they provide for quicker, reliable responses.
So, definitely, violence detection AI solutions are changing the game – public security automation becomes more and more accessible.
Main concept of smart surveillance systems
A reliable surveillance system poses great computer vision, data analysis, and even decision-making challenges. A hence efficient approach to extracting the information from footages will employ the synergy of several advanced technologies, which power the following key components:
- Object detection: Face recognition and identification
- Object counting: Bike and helmet recognition and counting
- Action detection: Theft detection, crowd monitoring
- Vehicle identification: Vehicle recognition and identification, road traffic flow monitoring
- The detection of repositioning or blinding of cameras
- The processing of archives to find associated videos
- Real-time notifications
- Regular reports, and more
A smart surveillance system, by implementing those techniques, is capable of extracting valuable information. And, what’s more important, it’s able to interpret the information faster than human teams.
In automated violence detection, the components work together in a flexible environment, so they can serve various goals through customization.
Practical application of smart surveillance systems
Law enforcement
Security monitoring at crowded public spaces – streets, parks, train stations, bus terminals – is a real challenge. But using violence detection, local authorities can leverage real-time tracking and alerting, thereby improving evacuation planning, incident management, and overall safer communities.
Schools and educational institutions
Security monitoring is also extremely useful to identify unlawful intrusions, physical altercations, and bullying. With smart violence detection, school personnel can harness real-time insights and provide quick responses without constant human oversight.
Industrial workspaces
With AI violence detection, hazardous environments (factories, warehouses) can recognize safety violations. Aggressive gestures, suspicious movements, and any interpersonal conflicts that might present endangering – immediately recognized.
Commercial spaces
With AI violence detection, commercial spaces can prevent physical aggression, shoplifting, loitering, and more. Another opportunity – a customer flow analysis and store layout optimization.
Computer vision for camera violence detection
The rising criminal activities, their unexpectedness, and harm they inflict are posing more and more danger – business leaders, law enforcement, and governments are looking for strategies to overcome these activities. But still, public safety technology remains quite sophisticated, which makes adoption challenging.
State-of-the-art approaches typically include audio and video processing, spatiotemporal analysis, and more. Despite results that promise 85% accuracy, current methods lack precision, are sensibly memory demanding, and require computational power that’s frankly speaking unreasonable.
Abto Software’s R&D engineers suggest implementing computer vision to detect violent activity with precision of extraordinary 95% accuracy.
Our approach to real-time violence detection
We evaluated our technology:
- On a 1000-video hockey fight dataset
- And a 200-clip action movie dataset (scenes from E. Bermejo, O. Deniz, G. Bueno, R. Sukthankar)
After splitting the datasets into 80:20 training and testing subsets, we received the next confusion matrices:
In the end result:
- The 92,7% of hockey fight clips have been correctly classified as fights
- Similarly, 93,0% of videos have been correctly classified as non-fights
As for the action movies dataset, the average detection accuracy of fights had a 95,0% rate.
The video below visualizes how our technology works in real-time for the BEHAVE dataset – after recognizing violent activity, the system instantly sends corresponding notifications to the security team or police.
Trigger warning: violent behavior.
How we can help
By integrating our technology, business leaders, law enforcement, and government can have multiple benefits:
- An increased success rate in proactive crime prevention
- A reduced processing time of captured CCTV footage
- Revealing insights from real-time visual information
- Data-backed decision-making
- And more employees freed to handle non-monitoring processes
Both efficient and scalable, our technology for real-time violence detection can aid in a wide range of purposes, from daily healthcare operations to more hazardous domains.
Our services:
- AI development
- RPA services
- .NET development
- ASP.NET development
- Web development
- Mobile development
- Cloud services
- Custom product software development
Our expertise:
Violence detection technology for public safety can be incorporated into the surveillance systems in airports, schools, shops, prisons, etc.