How Computer Vision is Transforming Surveillance?

Security Cameras without Intelligence

Surveillance is an essential aspect of security and patrol operations. For the most part, the work means spending long stretches of time on the lookout for something bad to happen. We must do so, but it is also a tedious job.

Computer Vision is Redefining Surveillance

Computer Vision is a part of Artificial Intelligence. Simply put, computer vision allows computers to see, identify, and process images or videos.

Application of Computer vision for Security


Companies are working on emerging technologies for detecting, recognizing, counting, and tracking objects of interest within video data. The approaches developed are capable of responding to specific tasks in terms of continuous monitoring and surveillance in many different application frameworks: improved management of logistics in storage warehouses, counting of people during event gatherings, monitoring of subway stations, coastal areas, etc.

Event recognition

The computer vision department implements recent approaches to model and analyzes the semantic content of a filmed scene. Based on a learning phase, these approaches can identify the recurring activities within the video content and recognize the abnormal events in a particular context such as, for example, an incident at a road intersection diverging from usual code-compliant, traffic flows.

Smart Cities Applications

By integrating ICT and IoT technologies into the urban development of cities, Multitel seeks to optimize the management of the city’s resources to increase the quality and performance of services towards citizens. In particular, one of the objectives pursued consists of improving mobility through quantitative, objective, and automated management of resource use (car parks, roads, public squares, etc.) based on the analysis of CCTV data.


The demand for computer vision and its application is growing rapidly and as the technology becomes more economical, there must be continuous growth in the use of Computer Vision either in image recognition, transportation, manufacturing, or gaming. With the implementation of deep learning neural networks, the dream of smart cities could plausibly become a reality, but the huge innovation is well afoot.

TagX Annotation Services

TagX offers to get the high-quality training data sets for AI cameras in security surveillance systems. Mainly using the bounding box image annotation to detect the various objects and recognize the suspicious actions, TagX can produce a huge quantity of training data sets for AI in security cameras and video surveillance in the cities, towns, and societies for safe living.

Serial Entrepreneur, AI & ML Enthusiast. CEO at TagX.