ORC ALGORITHM

Object recognition and classification

The ORC algorithm uses neural networks to recognise and detect objects in the camera image. It is possible to recognise static objects by analysing the entire image or moving objects in the image from a static camera. Objects in real time can also be recognised or camera recordings post-processed and analysed. Depending on the assignment specification, algorithms can be taught to recognise and classify new objects that the neural network has not yet recognised.

It is also possible to specify various classification criteria, such as the number of frames in which the object must be located or the recognition success threshold. The ORC algorithm can be used to recognise moving objects in security systems, but also to classify obstacles in front of a robot. The output is the name of the object marked by the bounding box, the recognition success and the position in the image.