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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Machine vision encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images.
Accepted as the "father of computer vision," he discusses the possibilities of extracting 3D geometrical information from 2D perspective views of blocks (polyhedra) in his MIT PhD thesis.
Machine vision is a term that refers to the field of computer vision. Although governmental and military applications of computer vision and academic/educational applications share many of the same algorithms and methods, the constraints are different.
Modern vision frameworks request more prominent heartiness, unwavering quality, and security thought aboutwith an intellectual/instructive vision framework and commonly cost substantially less than thoseutilized in administrative/military applications.
As a result, industrial machine vision implies high mechanical and temperature stability, low cost, acceptable accuracy, high robustness, and high reliability.
In order for computer hardware and software to process, analyze, and measure various characteristics for decision making, machine vision systems rely on digital sensors housed inside industrial cameras with specialized optics.
TheIndia machine vision marketaccounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
The INSPEKTO S70 Gen.2, a new and improved version of Inspekto's renowned Autonomous Machine Vision (AMV) system for industrial quality inspection, has been introduced by the global company that set the standard for autonomous machine vision.
The S70 Gen.2 is supported by Autonomous Machine Vision AI (AMV-AI) and enables reliable quality inspection in difficult applications like highly reflective materials, moving parts, and vibrating platforms. The INSPEKTO S70 Gen.2 maintains its speed and ease of installation while allowing for high-quality inspection in a wider range of situations.
The S70 Gen.2 is an off-the-shelf edge device that users can install in as little as 45 minutes without prior knowledge of machine vision or artificial intelligence, which sets it apart from conventional machine vision solutions.
There is no need for training, data labeling, or annotation because the straightforward setup procedure only requires between 20 and 30 OK (good) sample items and no NOK (defective) sample items to produce the immediate proof of concept (POC).The most recent version of Inspekto's flagship edge device offers new and improved features while maintaining its ease of use.
The first is the possibility of using the system in even more different types of applications. AMV systems are universal, they include both the necessary hardware and software, and they can inspect a wide variety of parts and use cases, in contrast to traditional machine vision solutions, which are constructed as a project from multiple components and set to inspect only a specific use case.
The ability to reliably inspect parts that are highly reflective, like metals and plastics, has extended this revolutionary feature even further.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive Innovation in the Industry |
10 | Technology Trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in the US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on the point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End Use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in the past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in the past 12 months |
26 | M&A in the past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunities for new suppliers |
31 | Conclusion |
32 | Appendix |