Client Background
Client: A leading tech firm in the Middle East
Industry Type: Security
Services: Security services
Organization Size: 100+
The Problem
Traffic Signals are inefficient because even if there are no cars or no pedestrians on the road it still works on a timer and stops the traffic or pedestrian unnecessarily.
Our Solution
We provide a Computer vision-logic to Manipulate the traffic signal to work such that it turns red only when x number of pedestrians are waiting to cross the signal.
Solution Architecture
- Yolov7 pose estimation
- Opencv
Deliverables
- The program Detects Pedestrians and Gives alerts to traffic Signals to turn Red or stay Green.
- Yolov7 pose model weights
Tools used
- Yolov7
- Opencv
Language/techniques used
- Python
- Computer Vision
Models used
- Yolov7 Pose Estimation
Skills used
- Programming
- Computer Vision
- Deep Learning
What are the technical Challenges Faced during Project Execution
There was no existing solution and we had to create the logic from scratch.
How the Technical Challenges were Solved
Researching Computer Vision. Learning new Techniques and Experimentation.
Project Snapshots
Contact Details
Here are my contact details:
Email: ajay@blackcoffer.com
Skype: asbidyarthy
WhatsApp: +91 9717367468
Telegram: @asbidyarthy
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