Oxipital AI

NeuralVision is a machine vision platform at the forefront of deep learning and artificial intelligence-like abilities applied to the industrial inspection space. For the first time companies are able to have total control of the performance of their machine vision systems and not be dependent on external vision experts to make changes or incorporate new product lines. Traditional machine vision is highly dependent on having a controlled environment, rigid positional tolerances, and ultimately the skill of the vision programmer. It is up to engineers to come up with every algorithm required to inspect a part from measurements to color to correct locations and everything in between. NeuralVision from Cyth Systems was designed to allow a person with no machine vision experience to inspect and classify products. Machine vision systems traditionally work by having an experienced programmer choose one of many analysis algorithms to apply to an image.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.