It is not always possible to monitor worker behavior and so it is hard to track whether the worker is working safely, performing a task correctly or is in need of assistance.
Using CCTV video from a factory, an AI model was trained to identify classes of worker behavior such as replacing a part, walking, eating and so on.
How to Customize
- Labelled video images indicating the type of activity performed
- Applicable to worker safety, training and supervision
We were able to successfully train an AI model to recognize complex industrial parts using Neopulse 3.0 on AWS. The AI solution was built very quickly and was able to recognize objects in unpredictable, real-world environments with high accuracy.
Everybody seems confident in AI, and they actually enjoy solving various AI problems.
The vendor’s services are integral to providing AI solutions for a wider audience. They had an effective project management style, accented by a quick working style.