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The Scorpion 3D Neural Camera builds up a profile of a foodstuff in 3D and analyses it for reference features to create an approximation of what the vision system is looking for. AI is then applied to enhance feature extraction through ‘deep learning’. Wilson explains what this means: “Neural networks are the machine equivalent of brain neuron networks. Just as neurons transmit signals and information to different parts of the brain, the neural network uses interconnected nodes to teach computers how to process images. This is what is termed ‘deep learning’. If you give an AI-optimised vision system an approximation of what you are looking for by showing it examples, the neural network makes the connections. Effectively it is an elegant method of pattern matching.” With 3D machine vision alone up to around 80 per cent reliability is achievable in trimming and inspection applications; when it is overlaid with AI, that figure is close to 100 per cent. Employing AI in fish, seafood and vegetable processing has provided the missing link that is needed to provide a high level of repeatability with subject matter that does not conform. Until very recently, picking up a vegetable and manipulating with two hands whilst looking at it to make a decision on what to do with it was the domain of the human. Now, it can be done with 3D+AI and a good robot.


For the first time ever, breakthrough solutions that overlay 3D machine vision with AI are enabling tasks such as vegetable and fish processing to be performed with unprecedented accuracy and repeatability


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