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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Machine vision is the automated inspection and analysis of objects using one or more cameras, typically in an industrial or production setting. The information gathered then can be utilized to manage a procedure or manufacturing task. Area scan cameras and line scan cameras are the two types of cameras used in industrial machine vision.
By minimizing the need for human intervention in a production process, machine vision offers significant advantages in terms of safety and efficiency. Additionally, it shields human employees from dangerous conditions and prevents human contamination of clean rooms.
The France 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.
Industry's First Deep Learning-Enabled Machine Vision Camera is Released by FLIR: Firefly DL The FLIR Firefly® DL, the first machine vision camera with deep learning and inference capabilities developed by FLIR Systems, Inc. (NASDAQ: FLIR), was introduced today.
The FLIR Firefly DL camera is perfect for embedding into mobile, desktop, and handheld systems due to its tiny size, low weight, low power consumption, and deep learning capabilities. Engineers, makers, and original equipment manufacturers can swiftly create and implement solutions to difficult automation tasks thanks to the Firefly DL with deep learning.
Deploying a trained neural network directly onto the camera, doing away with the requirement for a host system to carry out the functions of classification, object identification, and localization, allows system builders to further cut the cost and complexity of their job.
To tackle complicated and ambiguous issues like facial recognition or judging the quality of a solar panel, Firefly DL blends machine vision capabilities with the strength of deep learning.
The Firefly DL camera is the first FLIR camera to utilize FLIR Neuro technology, allowing users to deploy their trained neural network directly onto the camera, enabling on-camera decision-making and inference on the edge.
For optimum versatility, Neuro offers an open platform and supports well-known frameworks like TensorFlow and Caffe. Classification, location, and detecting functions are excellent uses for neuro. FLIR Firefly DL can be purchased right now through licensed FLIR distributors all around the world.
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 |