The Face Recognition and Video Processing Laboratory investigates advanced pattern recognition and video analytics methods and develops innovative technologies that achieve the best performance on challenging problems, such as automated traffic incident detection and monitoring, facial recognition, image search, video retrieval, big-data analytics and visualization. Our innovative video analytics system, which achieves nearly one order of magnitude improvement over RADAR for vehicle counting, performs better than commercial systems for automated traffic incident detection and monitoring in challenging environments (see https://web.njit.edu/~cliu/NJDOT/DEMOS.html). Our robust facial recognition technology, which accomplishes the best performance among the competing technologies for a government organized face recognition grand challenge, is able to reliably verify face images at a very low false accept rate. Our patented face detection technology, iris detection and recognition technologies, and image-search technologies are some additional examples of our research and development work.