The problem RIM.ai (research in motion) solves

• CCTV systems deployed currently across the world need a lot of manpower to monitor the video outputs. Human monitoring of the system can be ineffective when dealing with a lot of video outputs for a prolonged period of time.
• Human Beings and operators tend to miss out on crucial security clues at times which can lead to disastrous consequences for the organization.
• Fatigue is another issue why people can’t keep a regular eye on video footage.

Thus our system would offer the following tasks

• To enhance the capability of the existing solution we would use state of the art algorithms in the field of computer vision and deep learning for detecting and monitoring people/objects. The following are the steps by which the program will be implemented:
• Object Detection,Facial Recognition and Activity Recognition
• Automate the process of Informaing authorites about any crime happening in the area

Challenges we ran into

Increasing inference speed of the application.
creating the API for the backend