PRODUCTS Industry

Deep Learning

We deal in products using deep learning technology for quality inspection in manufacturing processes.

List of products related to Deep Learning from Industry

  • VisionPro DeepLearning is image processing software that makes it easy to introduce deep learning without specialized knowledge and with intuitive operation. Equipped with tools for “defect detection,” “positioning,” “classification,” and “OCR (optical character recognition),” it can adapt to complex themes, depending on the combination of tools. The state-of-the-art algorithm enables rapid learning and stress-free repetitive learning, contributing to the automation of visual inspection that has been difficult with conventional rule-based machine vision.

  • In-Sight D900 contributes to solving challenges that are difficult to manage with conventional rule-based machine vision, such as defect detection, assembly confirmation, and OCR (optical character recognition), using deep learning tools. No specialized knowledge is needed for AI adoption. The learning process is extremely fast and can be repeated without stress. Image processing using deep learning tools is performed on In-Sight D900, so there is no need to install PCs onsite.

  • In-sight 2800 is a vision sensor equipped with both deep learning and rule-based vision tools. With deep learning tools, it correctly identifies parts with variations, and enables “classification” beyond simple good/bad judgments. It is applicable to various themes in combination with rule-based vision tools.

Solutions for Industry

Cases related to Industry

Visualization Inside Factories Using Business Cameras

We realize operations with a small team through “visualization of the work site” using video images.

Support for Simulator Environment Construction

Using virtual ECUs, we optimize the efficiency of ECU software development.

Use Cases for Verifying the Safety of Unmanned Autonomous Service Cars

Our safety verification simulator for autonomous driving service cars enables you to identify potential risks in advance and take countermeasures.

TOP