Product Launch (Blog)

Jul, 10 2024

Leading Companies Driving Innovation in Deep Learning for Machine Vision Solutions

Deep learning in machine vision is pivotal for applications such as autonomous driving systems. By leveraging deep neural networks, these systems can process data from cameras, LiDAR, and sensors in real-time. They accurately detect and classify objects such as pedestrians, vehicles, and road signs, crucial for safe navigation in complex environments. This technology enables vehicles to make informed decisions autonomously, significantly enhancing both the reliability and safety of autonomous driving. As a result, deep learning in machine vision not only revolutionizes transportation systems but also finds application in fields such as image recognition and medical imaging, where precise analysis and decision-making from visual data are critical.

Global Deep Learning in Machine Vision Market is expected to grow at a CAGR of 12.5% during the forecast period 2022 to 2029.

To know more, visit https://www.databridgemarketresearch.com/pt/reports/global-deep-learning-in-machine-vision-market

Below are the Top Deep Learning in Machine Vision companies with a Significant Market Share:

Rank

Company

Overview

Product Portfolio

Sales Geographical Coverage

Developments

1.

Cognex Corporation

Cognex is a leading provider of machine vision systems and software. They integrate deep learning technologies into their vision systems for applications such as automated inspection and quality control across various industries, including manufacturing and logistics. Their solutions are known for high accuracy and reliability in complex environments.

  • In-Sight 2000
  • In-Sight 2000 mini
  • In-Sight D900
  • In-Sight 9000
  • In-Sight 8000
  • In-Sight 7000
  • In-Sight 5705

Americas, Europe, Middle East, and Asia-Pacific

In July 2021, Cognex Corporation launched Cognex VisionPro Software. The key feature of this software launch was to break down barriers between deep learning and traditional vision, this is enabling customers to combine deep learning and traditional vision tools in the same application. Through this company offered quality products to its consumer.

2.

Intel Corporation

Intel plays a crucial role in the deep learning in the machine vision market through its development of processors optimized for AI and machine learning tasks. They provide hardware solutions such as CPUs and GPUs that power deep learning algorithms in vision applications, enabling real-time image processing and analysis.

  • Machine Vision Solutions for Industry 4.0

North America, South America, Europe, and Asia-Pacific

In February, Intel Corporation announced that have launch future generations of Intel Xeon. It is new dual-track roadmap of Performance-core and Efficient-core based products, moving from two optimized platforms into one common, industry-defining platform. Thus, through this new product the company will be able to target new customer base on requirement in market.

3.

NATIONAL INSTRUMENTS CORP.

National Instruments offers software and hardware platforms that support machine vision applications, including those utilizing deep learning. Their products enable developers to integrate AI algorithms for tasks such as object detection and image classification in industrial automation and scientific research.

  • Smart Camera
  • Area Scan Camera

Europe, South America, Middle East, North America, and Asia-Pacific

In July 2020, NATIONAL INSTRUMENTS CORP. acquired Optimal Plus for USD 365 million. As a global leader in data analytics software for the semiconductor, automotive and electronics industries as these are used in various new technologies such as sensing capabilities, artificial intelligence and machine learning. By acquiring them company was able to strengthen its machine vision sections as these technologies are broadly used

4.

SICK AG

SICK AG specializes in sensor technology for industrial automation, including machine vision systems. They incorporate deep learning capabilities into their sensors and vision systems for applications such as robotics and logistics. Their solutions enhance efficiency and reliability in automated processes through advanced image processing techniques.

  • CEMS solutions
  • Process solutions
  • Array sensors
  • MLG-2
  • deTec
  • SLG-2

Europe, Middle East and Africa, South America, North America, , and Asia

In December 2021, SICK AG announced that they had taken over croatian it company mobilisis. Thus, through this new acquisition, the company will be able to expertise in the wireless networking of industrial IoT devices.

5.

Datalogic S.p.A.

Datalogic provides automatic data capture and industrial automation solutions, including machine vision systems. They leverage deep learning technologies to improve the accuracy and speed of tasks such as barcode reading and object recognition in manufacturing and logistics environments, enhancing productivity and operational efficiency.

  • P2x-Series
  • P1x-Series
  • A-Series
  • T-Series

Europe, Middle East and Africa, North America, South America, and Asia-Pacific

In March 2021, Datalogic S.p.A. showcased its machine vision technologies at Shanghai New International Expo Center (SNIEC), China. This was strategically done to gain consumers in the Asian market as machine vision technologies are getting immensely popular in Asian. Machine vision technologies showcased were P-series smart camera, MX-series processors, impact advanced OCR and others. Through this company expanded its market in the Asian region

Conclusion

In the growing global deep learning in machine vision market, companies such as Cognex, Intel, National Instruments Corp., SICK AG, and Datalogic play pivotal roles with their innovative technologies and solutions. These companies are driving advancements in automated inspection, quality control, and industrial automation by integrating deep learning algorithms into their vision systems. Their contributions not only enhance the accuracy and efficiency of visual data processing but also revolutionize industries such as manufacturing, logistics, and healthcare. As the market continues to expand, these leaders are poised to shape the future of machine vision with their cutting-edge capabilities and commitment to technological excellence.


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