On May 19, 2021, the second Changsha International Construction Machinery Exhibition was grandly opened at Changsha International Convention and Exhibition Center. More than 1,400 upstream and downstream construction machinery companies from home and abroad gathered in Changsha to discuss innovative technologies and products in the construction machinery industry ecosystem. , Promote the development of the construction machinery industry to a new level! Guangzhou Minshi Digital Technology Co., Ltd. (hereinafter referred to as "Minshi") participated in the Changsha Construction Machinery Exhibition with intelligent construction machinery and vehicle solutions, and more intelligent new products debuted at the exhibition for the first time, attracting many visitors in the industry. The intelligent construction machinery vehicle solution containing the latest scientific and technological achievements of Minvision directly hits the pain points of construction machinery vehicles and equipment, and can help safe driving and construction. The professional product explanation and demonstration of Minvision's business representatives on the spot has also been highly recognized and unanimous by the visitors. Praise.

Smart solution

The construction machinery industry and equipment have attracted much attention due to the complex and harsh operating environment, objective blind spots of vision, speeding and fatigue driving of drivers. How to use existing technology to improve driving conditions is the mission of all upstream and downstream enterprises in construction machinery. responsibility. Minshi has been deeply involved in the automotive electronics industry for many years. Relying on its strong R&D strength and rich project implementation experience, it has launched high-definition four-segment AI early warning & radar early warning system, AI intelligent early warning and video recording system and other intelligent solutions.

Both sets of solutions are supported by artificial intelligence technology, which can provide drivers with an intelligent and safe video surveillance experience. For example, the high-definition four-segment AI early warning & radar system perfectly integrates the three functions of pedestrian detection, fatigue driving monitoring, and blind spot detection and early warning. It supports real-time and intelligent looking down of operators within 3m x 6m of the vehicle's blind spot and provides audiovisual reminders.

At the same time, 77GHz millimeter-wave radar can be superimposed to accurately detect the surrounding complex environment. It can promptly remind the driver to avoid obstacles. It can also monitor and analyze the driver's condition to actively avoid driving risks and reduce construction machinery accidents and economic losses. And casualties.

The AI intelligent early warning and video system that has attracted much attention from visitors is also refreshing. This system integrates functions such as 360 panorama, blind spot detection and early warning (BSD), driver status monitoring system (DMS), advanced driving assistance (ADAS), etc. A set of solutions can realize intelligent visual monitoring of construction machinery vehicles and support real-time monitoring of driving processes , It can identify and warn of risks such as illegal driving behaviors and blind areas of construction machinery vehicles, ensuring the safety of construction machinery vehicles in driving and construction, effectively reducing the possibility of safety accidents, and providing video evidence traceability to timely define accidents or violations Behavioral responsibility to ensure that the rights and interests of the team are not infringed.

Through this Changsha Construction Machinery Exhibition, Minvision was fortunate to communicate with outstanding companies in the industry and further understand the market demand. Minshi will use artificial intelligence and other modern technologies as the starting point, continue to innovate, and contribute to the safe driving of construction machinery vehicles. Editor/XuNing