An incident in the year 2005, wherein a burglary in our office in the presence of CCTV changed the way we looked at CCTV cameras forever. Security can never be forensic, but it must be preventive. This pushed us to build intelligence into cameras to make it preventive, intuitive and provide quicker actioning to save lives and assets. We achieved this with extracting data out of the video and applied science on this data that made these cameras ‘making sense of seeing’, and hence our mission is“It’s not the Video that’s important, but the Data in the video”.
AI, Image processing, Matlab, Python, Speed sensing, Gesture control, Behavioral analysis, Pattern recognition, Face recognition, Object identification, R&D, Robotics, Intelligent electronics, Scientist, Raspberry Pi, Arduino, Intel NUC, Neural networks, Video surveillance, Video analytics, Smart City, Machine learning, deep learning algorithms, Yolo, C, C++, Embedded programmer, OpenCV, Convolutional neural network acceleration, Intel® Deep Learning Inference Accelerator (Intel® DLIA), FPGAs, SIP audio streaming, Cognitive Science, ANPR, Android, iOS, Cakephp, UI & UX, LoRa, network video surveillance cameras & more.
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