Model AI – Identification and reading of license plates
The client provides technology solutions for parking in Japan
클라이언트 요구 사항
The customer’s old technology license plate reading software is limited in its ability to read & process information due to its complete dependence on the original database. Inability to self-study & flexible handling.
HBLAB의 솔루션
Combining Image Process with Deep learning Model, which helps to increase self-learning and processing capabilities. Thereby increasing the accuracy and flexibility when updating information, systems for the software.
프로젝트 세부정보
- 사용 기술 Image Processing, Deep Learning (YOLOX, Swin-transformer, ONNX, OCR)
- 개발팀 2 AI engineer + 1 PM + 1 Comtor
- 프로젝트 기간 3 months
결과
Reduce the amount of Data that must be input to train the input system. – System Accuracy: 99.97% – Processing time: 2s/1 image (on low-configuration devices – fanless case)
관련 사례
성공적인 프로젝트 사례를 통해 귀사의 비즈니스에 대한 아이디어를 얻고, HBLAB과의 파트너십이 왜 올바른 선택인지 확인해보세요.
Customer's human resource management system uses NifCloud platform, lack of auto scale and centralized log database.
A software company provides hospitals and clinics with the system to record, process and analyze data from smart watches to record patient health status.