With the ability to quickly automate complex and subjective decision making, deep learning solutions for production lines can help identify defects, ensure quality of goods, increase productivity and create process efficiencies. Despite its utility, implementing deep learning in an industrial environment can often be intimidating due to the number of tools, large datasets, specialised skills, and associated costs.
To empower those with no AI expertise and to reduce the complexity and cost of implementing deep learning inspection on the production line, FLIR Systems has collaborated with Neurala to develop a fully supported software and hardware solution. This easy-to-deploy solution saves time as it helps prototype, train and validate models without needing to setup a traditional AI development environment.
