Video Analytics

Video Analytics

CC Footage analysis - problem

•The cc camera footages are analyzed when an untoward events happen. During that scenario the footages are watched ,analyzed  and investigated. This is time consuming process and investigation will take time. 

How to solve Face detection & Pattern Matching 

•CC TV footages will be processed parallel

– Analyzed frame by frame

–Faces are detected in each frame

–Faces are matched with the certain set of photos

–If they are matched an action can be taken on them

Face detection & prognostics 

•The live video stream coming from cc camera can be analyzed based on unexpected movement of the people coming in.

•The unexpected movement then we will traced and people in images are then matched with database. An action if needed can be taken on them.

•Here facial expression can be taken into picture

•The logic written should be robust and should not raise a false alarm.

People count

•Crowd count can be detected for estimating number  of people entering/exiting

•The use case of this people count is people entering a shop/mall. This gives a close count of people entering the shop, indicating increase in sales etc

Vehicle count & Number plate detection

•Suppose A junction there are frequently traffic jams. The cc tv footages at the junction can be analyzed by taking vehicle count and there is heavy traffic , the vehicle can be redirected to some other route.

•Identifying number of cars entering/exiting the malls.

•The frequent offenders skipping signal can be identified the vehicle numbers are detected and saved for later processing 

Water edge detection

•In certain areas in lakes & sea, people are not advised  to enter them.

•The reason is oblivious. The water edge is detected using image processing. If some enters that danger zone , it raises an alarm