Suppliers China Fauya

	Fauya
HQ Location	China
HQ City	Suzhou
Year Founded	2018
Company Type	Private
Revenue	$10-100m
Employees	11 - 50
Website	Open website

Fauya

HQ Location

China

HQ City

Suzhou

Year Founded

2018

Company Type

Private

Revenue

$10-100m

Employees

11 - 50

Website

Open website

Company Description	Fauya Intelligent Equipment (Suzhou) Co., Ltd. is based on intelligent manufacturing,mainly engaged in machine Vision Robot-based industrial intelligent detection and intelligent assembly line. Read More
Contents

Company Description

Fauya Intelligent Equipment (Suzhou) Co., Ltd. is based on intelligent manufacturing,mainly engaged in machine Vision Robot-based industrial intelligent detection and intelligent assembly line.

Fauya 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

Computer Vision

Functions

Discrete Manufacturing

Industries

Automotive

Services

Hardware Design & Engineering Services

Fauya’s Technology Stack maps Fauya’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

Automotive Instrument Panel (IP) Intelligent Testing Equipment

Automotive special-shaped parts (engine camshafts, crankshafts, automotive interior parts IP, ID and other components) are characterized by irregularities, and difficulties such as reflective curved surfaces cause machine vision intelligent detection problems. The development of intelligent detection technology for such products in China is relatively slow. At present, more than 90% of the special-shaped parts production enterprises still remain in the manual visual inspection method. However, manual visual inspection is slow in detecting complex defects and has poor reliability (such as manual visual inspection of camshafts, skilled quality inspectors need 2-3 minutes per piece).

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Overview

Fauya

IoT Snapshot

Technology Stack

Case Studies