CVEDIA trains and deploys computer vision applications at the edge for Hailo AI processors using only synthetic data, delivering AI that is more accurate, cost-effective and with an accelerated time to market.
CVEDIA creates off–the-shelf and customized edge algorithm solutions that specifically target Hailo's- 8 compute capabilities. Featuring up to 26 Tera Operations Per Second (TOPS), Hailo’s-8 AI edge processor is built with an innovative architecture that enables edge devices to run sophisticated deep learning applications that could previously only run on the cloud. Hailo-8's advanced structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge.
Our solutions team can optimize your model for either accuracy or performance and enhance its capabilities using device-specific computing, providing a competitive advantage with faster data collection. In a short timeframe of 1-3 weeks, we can also offer edge algorithms for Hailo's AI H8 processor using synthetic data.
CVEDIA deploys on Hailo's H8 AI processor with over 24 off-the-shelf algorithms and customization options for unique classes, classification, and device-specific computing.
CVEDIA's synthetic data technology, combined with the Hailo-8™ AI processor, offers high-performance, scalable, thermal edge AI solutions.
Hailo offers a breakthrough microprocessor uniquely designed to accelerate embedded AI applications on edge devices. Breathe life into your edge AI product today with Hailo-8.
The Hailo-8 edge AI processor features up to 26 tera-operations per second (TOPS) and outperforms other edge processors in area and power efficiency, with a size smaller than a penny.
CVEDIA's synthetic algorithms are optimized to run locally on low power devices, and designed to integrate seamlessly with hardware devices.
By employing proprietary synthetic data technology, CVEDIA AI is stronger, more resilient, and better at generalizing.
Our software is not vendor locked, this means that it has been specifically designed to run across all edge devices.