Retail Use Case: Classifying Fruit The handling of perishable foods like fruits and vegetables in a supply chain can involve many processes. Traditionally, these processes were done by hand, but we built an image recognition model in PerceptiLabs, to see if it could identify different types of fruits simply by analyzing images.
Manufacturing Use Case: Fabric Stain Classification The global textile industry impacts nearly every human being on the planet and had an estimated size of $1000.3 billion USD in 20201. It includes the production, refinement, and sale of both synthetic and natural fibers used in thousands of industries. The high demand for quality textiles has led
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.
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.
