SOLUTION

Development of Autonomous Driving Simulation Environment

Autonomous Driving

Image Analysis

Drone

Unreal Engine

Client: Nagoya University

We converted multiple photographs taken by drones into point cloud data, and based on that data, created 3D models that replicate the real world. This method allows for the recreation of the real world in 3D models, and further, we have constructed a realistic autonomous driving simulation environment by operating vehicles in this recreated setting.

AI Image Analysis of Facial Images for Freckles, Wrinkles, Moisture Content, etc.

Image Analysis

Deep Learning

Clients: Aisin Corporation, Okaya & Co., Ltd.

Aisin Corporation developed the beauty device "Wincell" utilizing the world's smallest class of fine water particle technology. To understand the detailed changes in skin after using Wincell, AquaAge Corporation conducted image analysis using deep learning. The results of this analysis were confirmed to be equivalent to those obtained from VISIA analysis.

AI-Based Detection of Hazardous Scenes and Generation of Hazard Explanations from Videos

Image Analysis

Deep Learning

Natural Language Processing

Generative AI

Client: Nagoya University

We have developed an algorithm that captures movements of vehicles and pedestrians from videos of cars driving in urban areas and detects hazardous scenes. Furthermore, by combining deep learning and natural language processing technologies, we have also succeeded in verbalizing the reasons behind these hazardous scenes.

Digitizing Parking Tickets using OCR

Image Analysis

Deep Learning

AWS

Clients: Everconnect Corporation, VEEMO Co., Ltd.

We have converted paper parking tickets into digital data using OCR (Optical Character Recognition) technology. Furthermore, using AWS cloud technology, we have built a system that automatically digitizes the tickets just by uploading their images.