Image judgment AI using edge devices! We also accept various consultations for the realization of IoT and DX.
At P&I, we are implementing a service that collaborates with customers to introduce image judgment AI as an alternative to visual inspection, starting from the PoC stage. We actively support small starts utilizing inexpensive devices such as Raspberry Pi. Leveraging our strengths in application development, we also accept various consultations aimed at realizing IoT and DX, including integration with peripheral systems. 【Features】 ■ Image judgment AI using edge devices ■ Involvement in the annotation and retraining processes to improve AI model accuracy ■ Active support for small starts utilizing inexpensive devices such as Raspberry Pi ■ Utilizing our strengths in application development, we accept various consultations aimed at realizing IoT and DX, including integration with peripheral systems *For more details, please refer to the PDF document or feel free to contact us.
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**Edge AI Development Case Study** ■ Industry: AI for Manufacturing ■ Utilized Architecture - OS: AWS - DB: AWS Redshift - Main Language: Python ■ System Overview: Residual Can Inspection System (Anomaly Detection AI) ■ Details - Installed a camera (Raspberry Pi) with residual can check AI on the production line of an aluminum can factory to check for the presence of residual cans using edge AI judgment. - The quality of residual can presence checks has improved compared to the previous state where humans monitored regularly. - Contributes to preventing productivity decline in case the line is operated with residual cans present. *For more details, please refer to the PDF document or feel free to contact us.*
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For more details, please refer to the PDF document or feel free to contact us.
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Our company is an information engineering firm that goes beyond the conventional concepts of software houses to realize the true desires of end users. User needs are diverse, but what is common to us is the recognition of information as a strategic management resource, and based on that, we define user needs and confront the challenges. To maintain this identity, we strive to train engineers specialized in technical areas such as consulting, system design, and project management, and we engage in activities as a group of experts.
