Sensovision Systems has developed an multiple object detection model using the fater RCNN network architecture to find the texts on the parts using machine vision cameras. The model is trained on a dataset of 20-40 images, and the output is the recognition of texts. This project will help in better text recognition. Here’s an example of how you can use the model to recognize texts in any similar parts:

1. Capture an image using a camera.

2. Feed the image to the model.

3. Get the count of texts in the image.

4. Get the type of texts that are in the image.