Case Study

AI & IoT

AI signage system

Project Description

A customer service system that guides products utilizing machine learning and links with Pepper.

By utilizing the face recognition engine from the camera, information and advertisements can be distributed to the target customers at the optimum timing. You can also use AI (artificial intelligence) to determine what information your customers need or are expected to be interested in and present it to your customers.

System features

Face recognition is performed by acquiring camera data.

・ Supports touch operation or motion operation (hand)

・ TTS / STT using NLP of Google Cloud

・ Data analysis and transfer in cooperation with Pepper robot.

・ Build an advertising information / news information collection server

Technologies

・Application : C#, C/C++, Python

・Server : PHP

・Platform : GCP, Unity, OpenCV

・OS : CentOS, Windows

Animal capture monitoring system

Description

・Develop a system that remotely monitors whether an animal has been captured in a trap using IoT technology.
・An RF tag is attached to a trap, and when accelerometer or infrared sensors detect animal, it sends a signal to the gateway. The gateway transfers the detected signal to a management server via the Internet.

Feature

・Develop firmware for gateway(sensor information collection, data transmission function).

・Build monitoring dashboard and management web application

・Send alert Email / SMS to user

Technology

・Language: C/C++, Java, PHP

・OS: Linux, Windows

Biometric identification and authentication

Objective

・User identification and authentication system by face/palm using camera

・Analysis user action/behavior/ attribute to build super profile and suggest recommendation

Project description

・Face / Ages /Gender  detection using pre trained model or API service 

・Build proxy for switch model / service

・Body tracking / object tracking ( using D-lens camera )

 

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