TPU processor, 17.6TOPS, 32 channels of full HD video decoding
TPU processor, 32TOPS, 32 channels of full HD video decoding, 12 channels of full HD video encoding
Based on the RISC-V core, operating at a frequency of 2GHz, the chip features a single SOC with 64 cores and 64MB shared L3 cache.
Based on RISC-V 5M slightly intelligent AI vision processor
Based on RISC-V 5M light intelligent AI vision processor
Based on RISC-V 5M light intelligent AI vision processor
5M light intelligent AI vision processor
4K Super Definition AI vision processor
5M high-performance AI vision processor
5M light intelligent AI vision processor
2K+2M smart car vision processor
528TOPS, 960 channels of full HD video decoding
316.8TOPS, 576 channels of full HD video decoding
32TOPS, 32 channels of full HD video decoding
192TOPS, 192 channels of full HD video decoding
32TOPS, 16 channels of full HD video decoding
17.6TOPS, 32 channels of full HD video decoding
211.2TOPS, 456 channels of full HD video decoding
10.6TOPS, 8 channels of full HD video decoding
256TOPS, 256 channels of full HD video decoding
96TOPS, 96 channels of full HD video decoding
52.8TOPS, 96 channels of full HD video decoding
17.6TOPS, 32 channels of full HD video decoding
32TOPS, 32 channels of full HD video decoding
32TOPS, 32 channels of full HD video decoding
17.6TOPS, 32 channels of full HD video decoding
17.6TOPS, 32 channels of full HD video decoding
AI Developer Product Portfolio
AI intelligent analysis helps urban management be more efficient and accurate
AI intelligent analysis is used to monitor emergency supervision scenarios such as production safety, urban fire protection, and emergencies
AI video technology is used to analyze dust production sources and dust incidents to help ecological and environmental protection
Through specific AI algorithms, streaming media videos are watermarked and coded to prevent video leakage
Through intelligent video analysis, it detects key control areas of prisons and empowers intelligent management of prisons
Through AI technology, the detection and analysis of human, vehicle and safety hazard incidents in grassroots governance are carried out
Use localized computing power to solve the problems of real-time monitoring and alarm of highway video compression and road abnormal events
Support the structured analysis of massive videos with localized computing power to serve the practical operation of police applications
Empower traffic congestion, driving safety, vehicle violations and road pollution control with localized computing power
Decoding L1-level structured analysis of video in a phased task
Quickly build business capabilities that integrate multidimensional data such as people, vehicles, and traffic
Take data as the center to create an "intelligent, collaborative, efficient and innovative" gait recognition big data analysis system
Edge computing architecture is used to monitor community emergencies and security hazards in a timely and accurate manner
Build a campus safety prevention and control concept: visible, controllable, judged and manageable
Properly solve high-altitude parabolic disputes, realize real-time monitoring of high-altitude parabolic objects, locate the throwing position, alarm and other functions, and effectively maintain the "safety above the head" of the people
Through video technology, intelligent AI online monitoring technology and other means, effectively monitor the fire safety in all corners of the building, and deal with related hidden dangers in a timely manner
AI cloud-edge combination is used to solve the food safety supervision needs of multiple catering institutions in the world, and create a closed-loop supervision for the government and enterprise-level public
Provide AI empowerment for finance, insurance and various business service industries to improve their own work efficiency and service quality
Through AI artificial intelligence collection big data technology, it solves the accurate grasp of the three-end information sources of "people, goods, and venues" by offline retail businesses
It provides a safety monitoring scheme for violations and abnormal events in the office, quality inspection, weighing room, storage area and other areas of large storage parks such as grain silos and cotton silos
Combined with artificial intelligence, edge computing and other technologies, the ability to intelligently identify people, things, things and their specific behaviors in the refueling area + unloading area, and automatically detect and capture violations of laws and regulations at gas stations, so as to facilitate effective traceability after the event and provide data basis for safety management
Through artificial intelligence, AIOT, big data and other technologies, solve the comprehensive control of the five elements of "human-machine material method" on the construction site
Milk-V Pioneer is a developer motherboard based on SOPHON SG2042 in a standard mATX form factor. With PC-like interfaces and PC industrial compability, Pioneer provides native RISC-V development environment and RISC-V desktop experience. It is the first choice for RISC-V developers and hardware pioneers to experience the cutting edge technology of RISC-V. Embrace RISC-V, embrace the future.
The Shaolin Pi Development Board SLKY01 is a development platform with approximately 20 TOPS computational power based on BM1684. It uses BM1684 as the core device and the core chip is fully autonomously controllable, providing powerful computation and multi-channel video encoding/decoding capabilities. It supports 3 mini-PCIe slots and 4 USB ports. It can be expanded with various peripheral modules. The optimal configuration, cost-effectiveness, energy efficiency, and feature selection can be achieved acc
The Huashan Pi is a functional evaluation board for the CV1812H multimedia processing chip, providing a wide range of users with an open-source development environment based on RISC-V, with a focus on visual and AI scenario development. It can be used to develop the powerful peripheral interfaces of the CV1812H, and also provides a hardware reference design based on the CV1812H, enabling customers to quickly complete their product hardware design based on the development board circuit
KT001 smart car uses the BM1684 chip as the core of the upper computer, runs on the Ubuntu operating system based on Linux, and utilizes the ROS robot operating system as the control center of the open-source intelligent hardware. The construction of this smart car involves Python and C++ programming, OpenCV computer vision, SLAM localization and mapping, Yolov5 visual deep learning, and other fields.