With computer vision at its core, Minivision's digital city solution is complemented by related technologies such as IoT, AI and big data to create a smart visual center for cities. It provides unified management, AI empowerment and application upgrades for video surveillance in various urban scenarios. The platform is user-oriented and can provide algorithmic on-demand options and real-time event alerts to meet various needs such as urban management, enterprise production, livelihood services and environmental protection. It comprehensively promotes the upgrading of urban digital governance.
Through the video network gateway, access to all kinds of information facilities that have been built, so that the market mainstream network cameras, including NVR, alarm hosts and other devices can be compatible. This solves the access problems with multi-brand and multi-type surveillance sources in complex surveillance environments, thereby reducing the cost of video integration and application, and realizing the unified convergence of surveillance information management.
算法团队经7年积累，已形成从图像采集、 标注、训练、模型等一整套能力， 通过小样本弱监督技术，可将模型产出的效率提升至少5倍以上，平均1周即可实现1次模型升级迭代，已累计近140+个应用场景算法。
Supports 12+custom algorithms Capable of supporting 6000 routes Involved in safe campus, smart city management, bright kitchen stove, and safe construction site
AI empowers 3000 cameras Covering algorithms such as garbage identification, road occupation, green lodging, shared bicycle parking violations, and motor vehicle parking violations Implement comprehensive urban smart management
Provide MG800 AI algorithm service components, 500 channel video monitoring Provide algorithm services such as unmask detection, chef suit/hat detection, mouse detection, and electric vehicle elevator entry detection Fully upgrade and empower transparent kitchen food safety management