Inspiration:

Can we eliminate human intervention in monitoring ? Can we keep check on the carbon footprint and take steps to reduce pollution? Can we provide real time video analytics to for traffic congestion and suggesting other paths? How To Create and maintain, benchmark datasets? Can we solve the parking problem and suggest areas to park in real time?

What it does

Human intervention in monitoring and analysis of video streams. ***Need State-of-the-art solution for above which is automatic, real time, and smart and perform the above said activities efficiently.

How we built it

VisionCV : Deep learning based Real time Intelligent Surveillance High performance Yolov Architecture and Maintenance(VisionCV). Input: Live Video Stream Models: YOLO-V3 based Deep learning architecture Object detection {Humans, vehicles, luggages, trolleys} DeepSORT Algorithm Activity recognitions: {Running, Walking, Carrying} Output: Automatic Alert count of objects in a given area. Reference: Papers list included.

Challenges we ran into

Accomplishments that we're proud of

Capability: A state-of-the-art AI based fully automated, intelligent (object detection, activity recognition & analysis and alerting mechanism) , monitoring and maintenance which minimizes human intervention, labor, ensures correctness and time efficient. Speed:
Works in Real Time Quality: High, Reliable and effective. Cost: Cost efficient solution. Efficiency: Highly efficient.

Demo link: https://drive.google.com/file/d/1UTPKogaW_eCzW58MLwYCoyFENMtDPupN/view?usp=share_link

What we learned

Automobile Industry : Manufacturing Plant Inventory management. Spare part Inventory management. Railway Industry: Spare part inventory management. Aviation Industry: Telecom Industry: Large Warehouse Inventory companies:
TATA Motors Reliance industries, Aditya Birla industries, etc.., Other Automobile companies.

What's next for Ideal Ride Hailing

Financial Support for establishing GPU based High performance Hardware setup for running Deep Learning models. High Speed internet Connectivity. Funds to work on the proposed approach. Huge amount of imagery data generation for OFC network elements and pre-processing or Bench marked dataset. Video surveillance data for validation Platform for validation.

Built With

Share this project:

Updates