<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=1448210&amp;fmt=gif">

Edge ML-Based Machine Vision Software and Services

Publish Date: 01 Nov 2022
Code: AN-4957
Research Type: Report
Pages: 30
RELATED SERVICE: AI & Machine Learning
Actionable Benefits

Actionable Benefits

  • Understand the current challenges in the adoption of Machine Vision software and services.
  • Identify market shift in machine vision technologies.
  • Allow manufacturers to pick the right combination of machine vision solutions.
  • Identify the right solution partners and suppliers for go-to-market strategies in smart manufacturing, health care, and cities.
Research Highlights

Research Highlights

  • Best practices of employing ML-based Machine Vision at the edge.
  • An overview of the machine vision market, from camera manufacturers to chipset vendors and key startups.
  • Exhaustive description of the different types of machine vision technology.
  • Emerging machine vision use cases.
Critical Questions Answered

Critical Questions Answered

  • Who are the key software and service solutions for ML-based Machine Vision?
  • What is the current trend of machine vision market in AI-based applications?
  • Who are the key players in machine vision market?
  • What are some of the current and emerging use cases for machine vision?
Who Should Read This?

Who Should Read This?

  • Strategy planners and advisors looking to ascertain new market niches and partnership opportunities.
  • Decision makers in industrial sector who are looking to invest in machine vision technology.
  • Technology solution providers to camera manufacturers that need to understand the future trends of the market in smart applications.
  • Device manufacturers who are looking for partners and solution providers to move into smart sectors, from manufacturing and health care to smart cities.

Table of Contents

1. EXECUTIVE SUMMARY

1.1. CONCLUSIONS
1.2. RECOMMENDATIONS

2. MACHINE VISION AT THE EDGE

2.1. DEFINITION OF ML-BASED MACHINE VISION
2.2. THE DEVELOPMENT OF ML-BASED MV
2.3. MV AT THE EDGE
2.4. CHIPSET VENDORS AND EDGE MV

3. SELECT VENDORS

3.1. ARCTURUS
3.2. ELEMENTARY
3.3. INSTRUMENTAL
3.4. MECH-MIND ROBOTICS
3.5. LANDING AI

4. MARKET OUTLOOK

Companies Mentioned

  • Arcturus
  • Elementary
  • Instrumental
  • Landing AI
  • Mech-Mind Robotics