High-speed AI recognition for diverse applications
The success rate of license plate recognition is easily affected by vehicle speed, climate, and external environment. Hardware and software configuration need to provide a much higher image bandwidth and throughput to ensure image quality. In the face of extreme weather, such as smog or heavy rain, efficient hardware is needed to process and purify the content of the image to execute AI identification, which is evident in heavy load.
Power consumption
Frontend vs backend computing
Network delay
Camera
Server
Accessories
Fixed location
Wiring
Unconstrained Scenarios
In the busy urban roads, ability of the license plate recognition system has to stand a severe proof. Take mobility into account, computing performance and endurance are the keys, while portability will determine the ease of deployment. DFI cooperates with CHT telecom to optimize the software and hardware settings, this solution allows the entire kit to be packaged into a briefcase size and powered by a mobile power bank.
DFI ES220-CS is equipped with an Intel® Core™ desktop processor that captures lane images at a rate of 30 frames per second, recognizes the license plate number in real time, and uploads it to the cloud for further comparison with the database. The low power consumption even allows system to be powered by a power bank.
Application Features:
To manage parking accessment by manpower had been an ancient practice. Whether for parking lot operators or drivers, implementations of automated solutions are proven to bring the maximum benifit and convenience.
Highly efficient automatic parkinglot management by license plate recognition replies on high-speed, high-availability, the DFI solution comes with rich I/O and fully tailored services, performs cloud management and rapid system recovery through remote control to provide uninterrupted services in parking areas where vehicles may enter at any time.
Application Features:
For traffic safety, tens of thousands of vehicles of various types that drive on highways every day are the critical targets for government traffic supervision units. The image recording system that monitors and records the cars throughout the day must have all-weather durability and stable data processing efficiency to perform seamless vehicle safety surveillance.
DFI's GHF51 is the world's first 1.8" industrial motherboard based on AMD Ryzen™ R1000 processors. Although it is small in size, it has the unprecedented processing power and high durability that consumer-grade products cannot match—taking tens of thousands of photos of vehicles and making the most direct contribution to highway safety.
Application Feature:
Desktop-grade compact system
Key Feature
The world's first 1.8" SBC with AMD Ryzen™
Key Feature
Modular-design HPC system
Key Feature
Fanless compact system
Key Feature
Modular Panel PC
Key Feature