ML and AI-based image processing from CCTV feeds


CCTV (Closed-circuit television) is implemented in places where security becomes a thing of priority. It has over the years become a useful tool in keeping track of all activities going on at the premises where it is installed. This way safety is promoted, crime rates are reduced and properties are kept secure. But they still have their shortcomings. They are like passive workers and only get to be useful when someone watches the live footage or goes through the CCTV multiple feeds. An accident scene occurs in an area, check the CCTV. Your store was broken into? CCTV will tell. This requires a workforce and their constant attention and this comes with limitations.

What if CCTV can perform better than it does? AI and ML-powered CCTV have become a major breakthrough changing the game in the field of security.  Artificial intelligence act as brains for CCTV performing like humans and ensuring more accurate surveillance. It uses software programs that can analyze videos, images, and audio to recognize humans, objects, and events easier. This is a huge one for police, and first liners to respond fast to emergency situations, easily detect any crime or accident scenes and carry out operations effectively and efficiently. How is ML and AI-based image processing helping video surveillance to be better and smarter? Here is Hashan Kodituwakku, a successful IT professional providing IT services to security organizations and various industries looked into how Artificial intelligence and deep learning ensure optimal security and protection through camera surveillance.

Anomaly event detection

Deep learning has demonstrated its prowess in abnormal events recognition with its ability to detect unexpected events or abnormal patterns in things or events. AI keeps records of patterns based on constant occurrences. This can be normal human behavior, vehicles, the environment, and many more. It normalizes this data to define what is normal and average behavior. ‘Any breach in the pattern will raise an alarm. For instance, if a store is normally closed in the night and it was opened, it will be tagged as ‘anomaly and it will send an alert to indicate that an abnormal activity that poses as threat is ongoing’, Hashan Kodituwakku explains. This real-time surveillance is a much-needed one to detect any disruptive or offensive activities immediately.

Face recognition

Face recognition is becoming more popular than ever and it’s commonly used for both security and non security purposes. The camera system has an ability to detect and recognize faces whether at a long or short distance range. A game-changer in CCTV surveillance as it enables deeper surveillance and investigation. Given the most ability to capture and match faces, it has become an important tool against crime and error. This means identifying an individual in the rain, in the vehicle or in the distance in a way that is superior to human capabilities.

Object detection

Not only the face, but it can also recognize any physical objects in an image or video. Whether it is to recognize objects in buildings, landscapes, traffic areas, or public places in real-time, smart video surveillance can help achieve that. Think of these cameras alerting staff when goods are not placed properly or went missing. Or reporting of knives, clubs, or any weapons detection in real-time. Even when objects are found in a dense environment like a railway or airport, it can detect and recognize any objects you can imagine once the camera surveillance has been equipped with deep learning.

People counting

The advancement in technology has also brought about counting the number of people that might seem impossible. If you want to know the number of people in a particular area, it can provide the number in real-time, thanks to AI technology. Whether it’s shops, schools, event venues, or any other crowded areas, camera-based intelligent videos are making the counting of crowds possible.


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