The transition from traditional, analogue surveillance technology to digital surveillance solutions has provided security agencies and professionals with access to a broader functionality. Surveillance camera software can create modernized video data streams capable of being transported through Wi-Fi or network cabling. Importantly, this has significantly changed video monitoring and CCTV from reactive to proactive real-time tools.
What’s Video Analytics?
Video analytics is a solution that processes a video signal using a unique algorithm to complete security-related tasks. Three common video analytic types are available, including:
- Fixed algorithm
- Artificial intelligence learning
- Facial recognition
Artificial intelligence learning and fixed algorithms analytics try to achieve the same outcome. They identify and try to determine if suspicious or unwanted behaviour is taking place in a video camera’s field of view, and the algorithms notify the console manager of the result.
How Does Video Analytics Work?
Video analytics takes advantage of algorithms to analyse, manage and monitor massive volumes of digital video footage. It digitally analyses video inputs, converts videos into digital data and helps in making decisions.
Real-time use of video analytics in surveillance systems is installed to help track and trigger alerts to certain occurrences as and when they occur. Video surveillance systems can be used to search for events that have taken place retrospectively.
Digital video analytics systems operate at the central location, installed into cameras, or as a blend of both. Digital analytics systems configured in security surveillance cameras are perfect for offering live or real-time analytics, popularly known as edge video analytics. Each security camera in an edge video analytics system has delicate processing.
That means premises with limited network bandwidth can straightforwardly stream and get the processed data on suspicious occurrences transported via the network without utilising the network bandwidth.
Post-processing analytics is done to enable console managers to search the stored footage multiple times with unique parameters. System managers are able to search a massive volume of recorded and stored footage for potential suspicious incidents and validate the results.
How Can You Use Video Analytics in Surveillance Systems?
Video analytics can be used for a vast array of tasks, and here are some of the most common uses:
- Object tracking
- Removed and left object detection
- Counting of people, including customers
- Tracking of people
- Image temper/change detection
- Crowd detection
- Motion detection
- Pan-tilt-zoom auto-tracking
- Automatic number plate recognition
Video analytics not only helps with security concerns. It’s also used in crowd and traffic control management, face mask detection and football analysis. Video analytics SDK and surveillance systems are being incorporated into other building and physical security management platforms to offer more intelligent information for facility and security managers.