14 DAY TRIAL // Japanese electronics company OKI has recently announced the release of its FSE (Face Recognition Engine) Ver.4 which can be embedded into surveillance systems so as to specifically identify individuals by their face. In the near future OKI hopes to further develop the technology, so that after identifying a face the camera can lock on that individual and maintain focus even if the face becomes obscured from view.
Incredible amounts of stress are put on corporate networks whenever huge video files are transmitted from point A to point B. The new FSE is designed to address this issue by sending only specific parts of the video footage, or only certain images. The quality of the surveillance will remain the same while reducing data capacity.
Seiji Inoue, General Manager of Human Sensing Venture Unit with OKI, comments: "OKI's award-winning FSE has been implemented in various applications including digital cameras for auto focusing functions, mobile phones for security and for entertainment-use, etc. We are pleased to introduce the FSE Ver. 4, featuring improvements made in response to the needs of the surveillance market. We believe the product will help the market offer more efficient surveillance systems utilizing biometric technology."
Meanwhile, in the UK, Dr. David Brown from the University of Portsmouth is working to enable CCTV cameras with an audio feature. At this time the CCTV software program is able to detect suspicious behavior and focus on it, such as an individual running out of a crowd for example. By implementing special software, the cameras can detect specific noises and automatically focus on the source of said noise. For starters, the cameras would be able to detect screaming or glass shattering, but in the future it will be able to identify specific words.