Eye on Video: Specialized intelligent video applications

Analyzing surveillance footage for license plates, faces and even fires


Beyond that decision, there are several technical factors to consider that will help you improve the accuracy of your facial recognition application, such as where you place the camera, the resolution of the camera lens, and the lighting conditions in the surveillance environment.

As was mentioned in the two previous months' articles on pixel-based intelligent video and object-based intelligent video, no IV application is infallible. When deploying this technology, you need to set realistic expectations. Reaching 95 percent accuracy is very challenging; achieving 99 percent or beyond can be extremely difficult and costly in a real-world environment. But with careful adherence to some best practices, installations can achieve between 90 and 95 percent accuracy.

About the author: Fredrik Nilsson is general manager of Axis Communications, a provider of IP-based network video solutions that include network cameras and video encoders for remote monitoring and security surveillance. He can be reached via email at fredrik.nilsson@axis.com.