Computer Vision for Industrial Control Automation and Security
kazi haque
Kolkata, West Bengal
- 0 Collaborators
This system aims to design efficient AI enabled monitoring systems in an affordable cost for industries, where quality, safety and reliability is a biggest concern. ...learn more
Project status: Under Development
Groups
DeepLearning
Intel Technologies
Intel Python,
OpenVINO,
AI DevCloud / Xeon
Overview / Usage
There is an ascending importance in automating the manufacturing, verification and control application in industries. The huge benefit of automation is that, it reduces labour, to save energy, to save material, to improve accuracy, precision and quality.
Implementing Automation on industry scale also requires a continuous monitoring effort to prevent accidents, quality compromise, system failures, leakages etc.
Also for Semi-automated / Manual work force driven industry, security access to the production areas is a bigger concern.
With the power of computer vision and Artificial Intelligence these problems can be solved with minimal human effort.
This system aims to design efficient AI enabled monitoring systems in an affordable cost for industries, where quality, safety and reliability is a biggest concern.
Differentiator :
1.Affordable to Industries
2.Easily serviceable and upgradable
3.Over the Air Software Update
4.3D dynamic representation of the premise’s updates
Methodology / Approach
- Sensor/Time triggered Image capture
- On Board AI enabled Image Analysis
- Cloud/Server based live report generation
- 3D Map/Area based anomaly/Security breach report
Technologies Used
- Intel Optimized python
- Intel distribution for OpenVino
- Intel AI Dev Cloud