The rapid changes by technology, industries and societal patterns and process, all of these give the credit to increasing interconnectivity and smart automation. With 5G low-latency and high speed characteristics, the AI-based applications could react nearly real-time to the data that generated by 5G network. Therefore, 5G plus AIoT enables the digital transformation in transportation, smart city, and smart factory, etc. 
From device to edge, and from edge to cloud, it requires high speed and reliable network to make sure the data can be delivered in real-time, the technology that depends on artificial intelligence and machine learning system needs to be determined in a fraction of a second. Pairing with 5G, AIoT has numerous potential to expand business usage by its low latency and greater speed in the transmission, making sure to achieve data agility, mobility, and connectivity.

Scope of the Edge and Cloud Roadmap

Road infrastructure law enforcement in parking zone includes license plate recognition, pedestrian tracking, and passenger counting. AI computer can also detect road infrastructure and provide information to avoid dangerous situation such as real-time traffic information, potential hazard zone identification, adaptive signal coordination, heat map, and obstacle detection. As for public safety, the parking zone enforcement, vehicle/pedestrian tracking, security monitoring, accident prevention and license plate recognition are also the key to create safety transportation.

Next Step

•Blood Pressure

•Talking & Driving

•Eating & Driving

•Fall in Sleep

•Fasten Seat Belt

•Over-Speeding

•Fare evasion

•Harassment

•Walking on the Bus

•Fall Analysis

 

The Edge AI vehicle computer combined with AI image recognition, real-time interpretation of the occupancy behavior of bus parking. The violation of videos and license plate recognition results can be returned to the AI Cloud image recognition cloud management system for storage.