Post-COVID19, manufacturers are realizing the importance of automation in manufacturing, so does the other industries, such as healthcare, retail, etc. Specifically, ongoing lockdown, business confronted how to effectively utilize the workforce during the pandemic and provide contactless services in retail.
AN810-XNX is the world's leading platform for high-performance and energy-efficient AI computing, based on NVIDIA® Jetson Xavier™ NX. This edge computing platform fully supports M.2 device with extension slot, that assist developers expand their systems communication ability, I/O connectivity flexibly and quickly.
Aetina presents three MXM modules features advanced NVIDIA Quadro graphics cards with powerful Turing architecture technology, bringing amazing visual computing performance and power-efficiency into every embedded system.
Edgar combined with Aetina’s Jetson-based platform, AN110-NAO has functional I/O ports on the carrier could send to audio out(I2S) to warm the incorrect detect immediately, and it supports 1x 4K camera or 2x FHD cameras, which ensure the accuracy of image capture.
At 87.4 mm x 67.4 mm, AN110-XNX brings NVIDIA Xavier's advantage of high-performance AI computing into the small form factor platform, same size as Jetson Nano. This edge computing platform combines outstanding performance and power advantage with extension camera slots, supported single 4K or FHD MIPI camera module.
Aetina persist in related product development, collaborate with vertical SI (system integration) companies, also enthusiastically signing MOUs (memorandum of understanding) with edge ecosystem partners.
The world's first solution that combines Out-of-Band Management and edge AI computing devices, using Aetina Jetson edge computing platform equipped with Innodisk InnoAGE™ solid-state hard drives to achieve the goal of remote out-of-band management.
Aetina brings more performance per watt for Embedded and IoT, using Nvidia AGX Xavier module with Aetina's Nvidia Jetson carrier board - AX710 to form a high-performance edge computing platform, and imported the open source library - Openpose algorithm, successfully setting up the application of pose estimation.