Introduction
In today’s world, artificial intelligence has added a new dimension to the research and analysis industry. Video Analytics is one of the fast pacing fields of Artificial Intelligence which is helping law enforcement agencies in reducing the crime rate to a very large extent.
Video Analytics is a computerized video footage analysis that uses algorithms to differentiate between object types and identify certain behavior or action in real-time, providing alerts and insights to users. Gone are the days of using conventional CCTV cameras for surveillance.
Importance
Video surveillance systems produce massive amounts of video. Due to a lack of time or resources, most of this video never gets watched or reviewed. As a result, security incidents get missed and suspicious behavior is not detected in time to prevent unfortunate incidents. These challenges have played a large part in the development of video analytics.
Video analytics automatically generate descriptions of what is happening in the video, which can be used to track persons, cars and other objects detected in the video stream, as well as their appearance and movements. This information can then be used as the basis on which to perform actions, e.g. to notify security personnel, or to record the incident.
HOW VIDEO SURVEILLANCE TECHNOLOGIES BENEFIT LAW ENFORCEMENT
Criminal Identification
Deep learning technologies incorporated into video analytics systems help find details that human eyes can’t detect. These systems can distinguish people on the basis of gender, size, walk speed and other subtle factors. The system can also filter people by the color of their dress or find just the pedestrians carrying backpacks.
If an investigator is looking for a male suspect, dressed in white, and carrying a backpack, Analytics permit him to focus only on people who match the description, eliminating others from the feed.
Once someone has been identified as a person of interest, the system can locate that same person on other video feeds and segments. It becomes relatively easy to isolate the individual and trace his movements, so long as they appear within the feeds under analysis.
Identify high-crime locations
Finding sites where illegal narcotics sales are taking place has traditionally required a team to watch blocks and street corners for days at a time. This process can now be largely automated by posting a secret surveillance camera and having the analytics system watch for significant foot traffic. If there is frequent traffic between one point to another or a parked car by an individual or by multiple individuals – that location is probably where the drugs are concealed and retrieved from when the sale is made.
The analytics systems can even produce this data in real-time, providing valuable and actionable intelligence to the street crime or patrol force.
Critical incident response
Estimation of crowd size and counting the flow of vehicle and foot traffic in an area is usually is a very tedious task. A video analytics system provides defensible numbers and allows the police to better allocate resources for public law and order situations. These analyses can be done in real-time, or be based on archived video. This helps proper utilisation of resources and helps prevent mass agitation.
Conclusion
Security camera footage helps the law enforcement agency solve crimes. Video surveillance systems can help provide hard evidence, a way of validating all types of evidence, and a reliable source about any incidence in a particular area at any given time.
Innefu AI Vision takes live Feeds from CCTV cameras, recorded video feeds or any other source. and analyzes video footage in real-time and detects abnormal activities on the user applied rules like Intrusion Detection, Person/Object Identification etc. making surveillance system more useful, efficient and Reliable like never before.
