Video analytics has become a new way to analyze data that has no user interactions with the systems. It has new ways to detect hidden patterns, behavior, or incidents to make smarter and wise decisions. Video analytics has given a modern form of exploring activities that otherwise are very difficult to trace. It has gained popularity in application and business which has tremendous user walkins and personal interaction.
McMarvin has a team of experts to set up automatic video analysis which can be a near real-time analysis. Inputs are taken from cameras installed at the site. Video streams are sent to on-prem or cloud servers in chunks at regular intervals. The system is made educated to trace the activities. Video streams are then converted and compared. Activities or behaviors are identified and analyzed for making decisions. Systems can be designed to send signals or alerts when video captures activity which is not in the trained data samples.
Video Analytics or Video Content Analysis is computerized video footage analysis that uses algorithms to differentiate between object types and identify certain behavior or action in real time, providing alerts and insights to users.
Motion Detection
Facial Recognition
Object Detection and Tracking
Gesture identification
Sentiment identification
OpenCV Python
TensorFlow
Tracker