How AI streamlines security operations
AI is a term often used to describe the advanced capabilities of computer systems. In video surveillance, AI refers to a machine learning model trained to recognize objects and analyze data to identify threats. These functions do not enable AI to replace people who monitor video streams but do streamline monitoring companies' operations:
- AI-powered cameras have real-time object detection and selective recording. These reduce reliance on constant vigilance and minimize missed incidents due to human error, for example, operator fatigue. Critical events are ensured to be captured.
- Visual verification in high definition reduces the number of false alarm patrol dispatches.
- AI allows monitoring more cameras without increasing the number of employees involved, so scaling becomes more cost-effective.
- AI technologies speed up response to threats by eliminating delays, which is crucial in case of an emergency. When AI detects objects, a user and an alarm receiving center (ARC) receive a notification and can respond to an event faster.
What affects the quality of AI object recognition
- Making AI work well in video surveillance poses a few challenges:
- Proper AI recognition requires an accurate camera placement, and an installer must consider the height, tilt, and potential obstacles in the camera’s field of view.
- Difficult lighting conditions like insufficient or excessive sunlight might impact the accuracy of object detection.
- Challenging weather conditions might interfere with AI operations. Fog or rain may reduce image quality, while water spots on camera lenses affect object detection.
- Processing high-definition video streams through a video recorder in real time may cause delays or lags. Efficient hardware and software algorithms might be needed to handle the high data rates.
How AI-powered video surveillance improves security system performance
When developing Ajax cameras, Ajax Systems considered the challenges that the video surveillance industry faces and addressed them in its solutions. Ajax engineers have developed AI-powered cameras that seamlessly integrate with the Ajax system, which enables selective recording and alarm verification for fewer false patrol dispatches.
Built-in neural processing units (NPU) in Ajax cameras can differentiate between people, animals, and vehicles. This feature allows users to record only important events, like someone entering a room or a car entering a parking lot. Also, cameras can initiate recording based on pixel movement detection. Selective recording reduces memory usage and requires less bandwidth.
Apart from the built-in NPU, detectors in an Ajax system can trigger recording by cameras. The latter can respond to alarms raised by one, several, or all security detectors in the system. This allows for alarm verification using video recordings from CCTV cameras.
If you would like more information about Wireless Security Cameras or Wired Security Cameras or would like a professional opinion on the best options for your property, please contact Geelong Digital Security on 0417 384 787.
