To achieve the combination of IoT and the margins of AI computer technology,Ruff will launch the Face Tracking Module costs less than hundreds.
If the scientific innovation of technology was the spirit of the time，the achievement of Science and technology would be home of it. — — Ruff
With the business scenarios escalating ，there are much more demand of scenarios begin to upgrade themselves by basing on the invention of technology, The new product named “Ruff Face ID Module” face tracking module Ruff launched this time is based on IOT+ Machine learning skills that can implant the original complex l AI algorithm into a 35mm*42mm chip module. The AI chip provides neural network computing with the capacity for machine vision and speech recognition.
The chip is managed to run high-speed neural network calculation with ultra-low power consumption, such as target testing and image classification ,face detecting and recognizing, Multi — classification object detection and recognition etc.
It is said that, Ruff Face ID has machine vision and hearing ability,when it comes to practical business scenarios,it is able to operate data storage and calculation on the edge of the devices. It also has KPU(Convolution artificial neural network hardware accelerator) which managed to do the calculation more efficiently.
Compare to others chip module on the market，Ruff Face ID has these advantages：
· Achieving the fusion of LoT and AI Edge Computing.
In the case of high real-time requirement, the demand from cloud to edge is gradually magnified. Regarding to mission-critical application for face recognition and tracking, local data processing and edge computing will become a necessity.
Ruff Face ID’s AI chip enables off-line processing the edge calculations and advancing machine learning models for deep neural networks which based on scenes to run at the edge, including video frames, speech synthesis, time series data, and by cameras, microphones, and unstructured data generated by other sensors or equipment.
Based on the edge computing integration of the Internet of Things and AI, it can achieve more efficient and rapid response in business scenarios, while reducing the storage and running costs of cloud data, especially some repetitive and low-value data, which can be directly round off.
· install and play,break through the port-to-port data networking services
For Corporate Clients and manufacturers ,in the process of making the intellectual technology to actual use，there will be a variety of complex butt joints between data and devices,which including basic technology to module,module to equipment,to data then to cloud. It takes significant time cost and the participation of technician for the undeveloped clients and manufacturers to overcome these divides.
Ruff Face ID provides whole face-tracking module and cloud services ,the cloud service supplies users with SaaS form, which allows them to accomplish remote device management including updating firmware ,updating algorithm,pushing notification of face-recognizing,viewing history,remote data management etc.there by fulling the portability of install and play.
· Cost less than hundreds, popularize the IoT+AI faster.
Before, one way to process AI chip was uploading the image and data to the cloud which was faster but cost too much and the real-time response was not timely enough especially in mission-critical application; the other way was to process it with Local offline,it also cost amount of money in hardware due to the GPU and CPU. A compute element KPU put in Ruff Face ID make it possible for low-cost AI ability.
· Already popular when not punished, Ruff FT was reported by many medias.
Before Ruff Face ID was officially on broad, it showed on The 2019 “STARTUP IN SHANGHAI” International innovation and entrepreneurship events ,reporting by East Media, Shangguan News, hello Zhangjiang，Wenhui News, Youth News and CCTV Mobile.