Xnor.ai gives developers the capabilities they need to design and build state-of-the-art computer vision apps with more computational power and far less energy consumption.
Conventional AI solutions usually require a cloud-based data center running expensive GPU processors. Xnor.ai brings that same computational muscle to small, inexpensive, edge devices. With Xnor’s small footprint models, you can run incredibly accurate computer vision apps on a low-end ARM CPU or on a mobile handset with a processor as small as 1GHz. Our machine learning models are specifically designed to run in resource-constrained environments and are optimized for a wide range of diverse hardware platforms.
This app includes is a showcase of a few of our pre-trained computer vision models including: object detection, object classification, and face detection. The app is designed to be a fun way to preview a few of the benefits of some of our models. All of our models are running in real time, on-device. Look for more models and ways to interactively experience Xnor’s edge AI soon!
Contact Xnor to learn how to give your product or app the next generation in computer vision.
Bug fixes and performance improvements.
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With Family Sharing set up, up to six family members can use this app.