IIoT Use Case: Classifying Wood Veneers Into Dry and Wet Industrial IoT is playing a significant role in Industry 4.0, especially for automating manufacturing processes, including manufacturing wood veneers. We built an image recognition model that could identify veneers as either dry or wet.
healthcare Use Case: Detecting Defective Pills To help automate the detection of defects in medical pills we set out to build an image recognition model in PerceptiLabs that could identify defective pills by analyzing images.
Manufacturing Use Case: Air Conditioner Piston Check With the growing use of computer vision in Industrial IoT (IIoT) and Industry 4.0 to analyze and detect defects, we were inspired to build an image recognition model that can classify images of AC pistons.
Manufacturing Use Case: Defect Detection in Metal Surfaces With the rise of Industrial IoT (IIoT) and Industry 4.0, ML is playing an ever-increasing role in enabling automation. With this in mind, we built an ML model that can classify defects on metal materials using image recognition.
