DDA Analytics is changing the way CCTV systems operate. It stands for Detect, Distinguish, Alert and uses artificial intelligence to improve how surveillance systems interpret and respond to activity. By processing large volumes of visual data in real time, AI helps identify patterns and refine detection accuracy over time.
This capability allows the system to spot unusual behaviour quickly and send alerts without the need for constant manual monitoring. Staff can focus their attention on real threats as they arise, rather than reviewing hours of footage. The system also helps reduce false alarms and human error. In addition to improving security, AI-powered surveillance can provide operational insights, such as tracking customer flow or monitoring staff efficiency.
Object and Facial Recognition with AI
One of the most important features of DDA Analytics is object and facial recognition. Older systems relied on detecting pixel changes, which could trigger false alarms in response to wind, moving shadows, or animals. These systems were less effective outdoors or in low-light conditions.
Modern AI video analytics are trained on large datasets and can distinguish between people, animals, and vehicles. They are capable of identifying objects from different angles and in varying weather conditions. This greatly improves detection accuracy and reduces unnecessary alerts.
For example, license plate recognition can be used in car parks to monitor vehicle access. When a car enters, its plate can be scanned and compared to a database. If it does not match any approved entries, the system can log the visit or alert security. It can also track the duration of parking or help identify unauthorised overnight stays. In busy environments, this data can show when the car park is at full capacity.
Some systems also include facial recognition capabilities. While some algorithms have achieved high accuracy in controlled settings, real-world conditions such as lighting, angles, and image quality can affect performance. Facial recognition can be used as a supporting tool, for instance to track repeat visits or detect individuals seen near a building after hours. However, it should not be relied on as the only method of identification. Responsible use and privacy awareness are important considerations when implementing this technology.
Other Forms of Detection
DDA systems can also detect line crossing, which helps businesses manage restricted zones. This is useful in environments that require strict safety compliance, such as preventing unauthorised access to sterile areas or keeping vehicles in designated zones.
Temperature detection is another valuable feature. These systems detect infrared radiation and can measure temperature changes with a high degree of accuracy. In a workplace, they can help identify elevated body temperatures and reduce the risk of spreading illness. In industrial settings, they can monitor refrigeration units or detect overheating machinery, supporting both safety and compliance.
Installation and Reliability
For AI surveillance to work as intended, correct installation is essential. Factors such as camera placement, field of view, and angle can all affect system performance. Working with an experienced CCTV installer ensures the technology is set up correctly and delivers accurate results.
At BPoint Security, we have a proven track record of delivering reliable CCTV solutions. Our work is backed by hundreds of reviews from satisfied clients.
If you are considering an upgrade to AI-enhanced surveillance, explore our commercial CCTV options to learn more or contact us for a consultation.