Computer Vision for Industrial Control Automation and Security

kazi haque

kazi haque

Kolkata, West Bengal

1 0
  • 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

Artificial Intelligence

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

  1. Sensor/Time triggered Image capture
  2. On Board AI enabled Image Analysis
  3. Cloud/Server based live report generation
  4. 3D Map/Area based anomaly/Security breach report

Technologies Used

  • Intel Optimized python
  • Intel distribution for OpenVino
  • Intel AI Dev Cloud
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