EC-1684JD4 deep learning computing box is equipped with SOPHON’s third-generation TPU processor BM1684 and eight-core Cotex-A53. Its basic frequency is up to 2.3GHz, the INT8 computing power is up to 17.6tops. It has 12GB of large memory and can support up to 32 channels 1080P@25fps video decoding. It can process more than 16 channels of HD video at the same time. It supports mainstream deep learning frameworks such as Caffe / Tensorflow / Mxnet / Pytorch / PaddlePaddle. It integrates dual Gigabit Ethernet, can expand WiFi, Bluetooth, 5G/4G LTE, and has rich interfaces such as RS485, RS232, USB3.0, USB2.0, HDMI, etc. It supports Ubuntu, Debian, Linux and other operating systems. It can be directly applied to automatic driving, intelligent security, medical treatment, city, transportation and fire protection to accelerate the commercialization of products.
Specification and Characteristic
Face recognition, automatic driving, urban brain, intelligent security, medical care, city, transportation, construction site and fire control
1 * HDMI, 1 * TF, 1 * M.2, 2 * miniPCIE, 1 * RS-485, 1 * RS-232, 1 * WiFi, 1 * 5G, 1 * 4G
Support face detection, tracking, recognition, pose recognition, helmet detection, etc
Partner Introduction
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Zhongshan TianQi Technology Official Website
Zhongshan TianQi Technology (hereinafter referred to as" TianQi "or" the company ") was established in 2005. It is a national high-tech enterprise, Guangdong Internet+ enterprise and Zhongshan engineering technology center. It is an industry-leading service provider for intelligent hardware design, manufacturing and deep learning application solutions.
TianQi has focused on the development of intelligent hardware for more than 10 years and has a deep cooperation with a number of first-tier deep learning processor manufacturers. To meet the development needs of deep learning development. it has focused on the deep learning edge computing field, and launched deep learning edge computing modules, deep learning edge computing boxes, edge intelligent servers and IOT gateways, providing a full rage of deep learning edge computing products and solutions for the IOC, intelligent security, medical care, smart city, intelligent transportation, construction site, fire safety and other fields.