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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
A machine vision camera is a sort of technology or a method that integrates a number of other types of technology, including smart sensors, smart cameras, software and hardware, algorithms, and many other types of technology, to achieve the desired result. Machine vision is frequently employed on an industrial scale, mostly in the manufacturing sector to find product flaws.
\In order to detect the product, sensors are used in machine vision. The product region will then be illuminated by this sensor, which will also activate a light source and a camera to take pictures of the product.
The Indonesia Machine Vision Camera Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Machine Vision Camera Development Kit "EasyMVC" was launched by Macnica. Users will be able to quickly assess and create not only the most cutting-edge CMOS image sensors but also the most cutting-edge vision interfaces â- Output interface of Machine Vision Camera. An image sensor board, an FPGA board, and an interface board are all parts of the kit.
Users can assess the components that affect the operation of machine vision systems, such as different sensors, IPs, and interfaces, without arduous set-up labour by simply varying their combination.
Additionally, Macnica will aid in the development in a quick time at a reasonable cost because it offers example designs of hardware and software.GigE Vision, USB3 Vision, and CoaXPress are just a few of the IP cores that Macnica offers for Intel® FPGA, which are all necessary for creating a machine vision camera.
Other IP cores include "SLVS-EC," which was co-developed with Sony Semiconductor Solutions Corporation and was the first in the world. With the help of the EasyMVC, users may quickly begin assessing those IP cores.
Because of the extremely high specifications of SONY's cutting-edge CMOS image sensors, users frequently have to solve a number of technical problems, including challenging FPGA designs to effectively extract image data and board designs that take into account the various pin arrangements for each sensor even before they begin testing.
In this instance, customers can use the EasyMVC to resolve those technical problems and start quickly reviewing the most recent sensors.
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 US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on 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 past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |