The role of artificial intelligence and deep learning in machine vision

The popularity of artificial intelligence and deep learning have recently increased markedly, but within machine vision they have played an important role for years. They make the technology for computerised visual inspection more accessible.

Deep learning technology attempts to mimic the way that the human brain processes visual input, but performs this task at speed, with the robustness and inexhaustibleness of a computerised system. Through this, machine vision systems contribute to guaranteeing quality in the manufacturing industry, the control of production costs and improving customer satisfaction. Precisely in complex and varied image identification and quality inspection is where this technology excels.

We work closely with Zebra (previously Matrox Imaging), considering that they offer specialist software for classifying images or segmenting them for inspection with the help of deep learning.

Recording data in production processes
Requirements imposed on production processes are increasingly strict, customers expect more from their suppliers and automated inspection systems are becoming the standard. Through executing quality controls, fine tuning production processes and recording data, you take relevant steps towards improving the consistency of your output. Our machine vision solutions offer the possibility of extensive reporting based on acquired data. The software offers standard opportunities for this, but of course we provide advice on the degree to which the data should be deployed for your production process.