Client Background
Client: A leading tech firm in the Middle East
Industry Type: Security
Services: Security services
Organization Size: 100+
The Problem
Detect the threat level of accidents between a Pedestrian and a Car.
Our Solution
Use Deeplearning Computer vision and logic to detect the threat level as defined by the Client.
Solution Architecture
Linux 22.04
Deliverables
- Program which detects the threat level.
- Pretrained model.
Tools used
- Yolov7
- DEEPSORT
- Opencv
Language/techniques used
Python
Models used
Yolov7
Skills used
- Programming
- Computer Vision
- Deep learning
What are the technical Challenges Faced during Project Execution
- Integration of Object tracking algorithm with Object detection algorithm.
- Writing of logic to detect the threat level.
How the Technical Challenges were Solved
The technical challenge was sorted by testing, experimenting and later on finding and modifying an already existing repository to use as a baseline for our code for integration.
Contact Details
Here are my contact details:
Email: ajay@blackcoffer.com
Skype: asbidyarthy
WhatsApp: +91 9717367468
Telegram: @asbidyarthy
For project discussions and daily updates, would you like to use Slack, Skype, Telegram, or Whatsapp? Please recommend, what would work best for you.
