Suppliers Japan ARAYA

	ARAYA Creating a Future Society with AI Technology
HQ Location	Japan
Year Founded	2013
Company Type	Private
Revenue	< $10m
Employees	51 - 200
Website	Open website

ARAYA

Creating a Future Society with AI Technology

HQ Location

Japan

Year Founded

2013

Company Type

Private

Revenue

< $10m

Employees

51 - 200

Website

Open website

Company Description	ARAYA is an AI services provider that utilizes Machine Learning algorithms including deep learning to meet the diverse needs of customers. By building deep learning algorithms, ARAYA helps recognize and identify humans, objects, and states from images and sensors. Its unique deep learning compression technology enables smaller, faster and more power-efficient deep learning algorithms without compromising accuracy. By developing autonomous AI that can potentially bridge to artificial consciousness, ARAYA is aiming to make Artificial Intelligence in the next generation. The company was founded in 2013 and is based in Tokyo, Japan. Read More
Contents

Company Description

ARAYA is an AI services provider that utilizes Machine Learning algorithms including deep learning to meet the diverse needs of customers. By building deep learning algorithms, ARAYA helps recognize and identify humans, objects, and states from images and sensors. Its unique deep learning compression technology enables smaller, faster and more

power-efficient deep learning algorithms without compromising accuracy. By developing autonomous AI that can potentially bridge to artificial consciousness, ARAYA is aiming to make Artificial Intelligence in the next generation.

The company was founded in 2013 and is based in Tokyo, Japan.

ARAYA is a provider of Industrial IoT analytics and modeling technologies, and also active in the automotive industries.

Technologies

Analytics & Modeling

Computer Vision Software

Use Cases

Object Detection

Functions

Discrete Manufacturing

Industries

Automotive

Services

Software Design & Engineering Services

ARAYA’s Technology Stack maps ARAYA’s participation in the analytics and modeling IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

Number of Case Studies1

Introduction of AI to Quality Inspection of Consumable Raw Material

In the past, it was necessary for inspectors to visually detect minute foreign substances that rarely got mixed in with raw materials (plants) flowing down the production line.The challenges are:1. difficult to detect visually by inspectors - It was necessary for inspectors to visually inspect foreign objects as small as 1mm, which made it difficult to detect them.2. existing inspection devices cannot cope with the problem - In addition to the fact that the foreign matter is microscopic, both the raw material and the foreign matter come in multiple types and colours and have unspecified shapes, so rule-based image inspection systems could not handle them.3. different conditions for each factory and line - The customer has multiple factories and lines, each with different types of foreign matter, different conveyor speeds, and different inspector skills.

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Overview

ARAYA

IoT Snapshot

Technology Stack

Case Studies