Artificial intelligence (AI) in computer vision has revolutionized industries by enabling machines to interpret and understand the visual world. In 2024, leading vendors in this domain are pushing the boundaries of innovation with advanced algorithms and cutting-edge technologies.
What Is AI in Computer Vision?
Computer vision is a realm of computer science that puts a strong emphasis on allowing computers to detect and determine objects and people in images and videos. Similar to other AI applications, computer vision explores opportunities to execute automated tasks that stimulate human capabilities.
Computer vision in AI explores opportunities to stimulate the ways humans see and the way humans understand what they see. The applications of computer vision in AI have become a core of various modern innovations and solutions.
According to a report by Kings Research, the global AI in computer vision market size is projected to reach $206.33 billion by 2030, growing at a CAGR (compound annual growth rate) of 37.05% between 2023 and 2030.
Let us look at the key players in the computer vision market in 2024
Top 10 AI in Computer Vision Technology Suppliers
Following is the list of the best vendors that offers robust computer vision technologies:
1. Intel Corporation
Intel Corporation is a pioneer of AI in computer vision that helps its clients across various industries to drive innovation. Intel's OpenVINO toolkit acts as a catalyst in the development of high-performance computer vision and deep learning applications. These toolkits allow seamless edge and cloud deployment. Various hardware like CPUs, GPUs, VPUs, and FPGAs are supported by the toolkit.
Intel's AI solutions assist in improving image recognition, object detection, and video analytics. These AI solutions cater to smart cities, healthcare, retail, and industrial automation applications.
Intel® Movidius™ Vision Processing Units (VPUs) is one of the key applications of computer vision in AI. These units are known for low-power and high-efficiency inference. The Intel® Distribution of OpenVINO toolkit optimizes deep learning models for efficient inferencing. Integration of AI in its applications allows Intel to offer real-time insight and enhance decision-making and operational efficiency.
2. Microsoft
Microsoft integrates AI in computer vision in its Azure Cognitive Services. The company offers robust tools for image and video analysis. Azure Computer Vision has the following functionalities embedded in the system:
- Object detection
- Image classification
- Facial recognition
- Optical character recognition (OCR)
Microsoft’s computer vision in AI services is designed to extract rich information from images and videos. It finds applications in multiple sectors like security, retail, and healthcare. The tailor-made vision services enable developers to develop and deploy custom image classifiers personalized to meet particular needs.
Microsoft provides the face API for facial detection and recognition and a video Indexer for gathering insights from video content. Microsoft assists businesses to improve automation and customer experiences and gather valuable insights from visual data by integrating AI-driven computer vision technologies.
3. Basler AG
Basler AG is a key technology vendor that offers advanced AI-driven computer vision technologies. The company supplies high-quality cameras and embedded vision systems. These cameras have AI-driven capabilities that effectively process images.
Additionally, they also have deep learning tools integrated to execute tasks such as object detection, classification, and quality inspection. Industrial automation, medical technology, retail, and transportation are a few of the sectors that Basler's products are designed to cater to.
Basler's pylon Camera Software Suite supports seamless integration and development of applications of computer vision in AI. Furthermore, the vision solution combines the potential of next-generation AI processing with compact and efficient hardware. As a result, the real-time analysis happens on the device itself. The AI-powered computer vision technologies offered by Basler help businesses achieve higher accuracy, efficiency, and automation in their operations.
4. Qualcomm Technologies, Inc.
Qualcomm Technologies, Inc. embeds AI in computer vision in its Snapdragon platform. These technologies integrate robust AI engines for advanced image and video processing. The Qualcomm® AI Engine is one of the applications of computer vision in AI that optimizes tasks like object detection, facial recognition, and scene understanding.
Smartphones, IoT devices, automotive systems, and augmented reality (AR) are a few of the applications where these technologies are used. Qualcomm's Vision Intelligence Platform delivers high-performance and low-power vision processing. The solutions offered by the company facilitate deep learning frameworks.
It provides tools for developers to build tailored AI models. Qualcomm improves user experiences and device functionalities by incorporating AI in computer vision. The company also assists unique applications in consumer electronics, automotive safety, and smart cities.
5. TEC Competence GmbH & Co. KG
TEC Competence GmbH & Co. KG is at the forefront of offering applications of computer vision in AI for various industrial applications. The tools offered by the company focus on delivering cutting-edge image processing, object detection, and quality control capabilities. These technologies leverage deep learning algorithms to have high accuracy and efficiency.
TEC Competence provides customized solutions for the manufacturing, logistics, and automotive sectors. These industries integrate the tools to optimize automation and operational efficiency. The AI in computer vision systems offered by the company seamlessly integrates with the current IT infrastructure. It provides real-time analysis and decision-making capabilities.
Additionally, TEC Competence's computer vision with AI technologies supports predictive maintenance and process optimization. As a result, they can contribute to improved productivity and reduced downtime. The company offers innovative AI applications to assist businesses in achieving higher standards of precision and reliability in their operations.
6. Advanced Micro Devices, Inc.
Advanced Micro Devices, Inc. (AMD) offers AI in computer vision applications through its powerful processors and GPU architectures. AMD's Radeon™ and Ryzen™ platforms have embedded AI-driven functionalities that optimize image and video processing operations.
TensorFlow and PyTorch are the deep learning frameworks the GPU offered by AMD supports. The systems offered by the company execute tasks such as object detection, image classification, and facial recognition. AMD's ROCm (Radeon Open Compute) platform provides an open-source software stack for accelerated computing, facilitating the development of custom AI models and applications.
7. IBM
IBM’s Watson Visual Recognition and Maximo Visual Inspection platforms have AI in computer vision embedded in the system. Watson's Visual Recognition depends on deep learning algorithms to analyze visual content. It enables applications to classify images, detect objects, and recognize faces. This service can be trained with custom models for specific use cases. Hence the applications of computer vision in AI offered by IBM are versatile for multiple industries like retail, healthcare, and security.
Maximo Visual Inspection improves quality control in manufacturing. This platform has AI integrated to identify defects and anomalies in real time. The tools seamlessly integrate with IBM’s IoT and cloud platforms. It offers comprehensive solutions for asset management and operational efficiency.
8. Nvidia Corporation
Nvidia Corporation specializes in AI-driven computer vision with its powerful GPUs and comprehensive software platforms. NVIDIA's Deep Learning AI platform is powered by TensorRT and cuDNN. These platforms improve image recognition, object detection, and video analytics.
The company has an extensive product portfolio under the Jetson family. These products are edge AI computing solutions that allow businesses to have real-time processing and inferencing for robotics, drones, and smart cameras. NVIDIA’s Metropolis platform finds usage in smart city applications because of its advanced video analytics for traffic management, public safety, and infrastructure monitoring.
9. Amazon Web Services (AWS)
AWS provides an extensive range of AI-driven computer vision technologies through its AWS AI services and Amazon Rekognition. Amazon Rekognition delivers powerful image and video analysis capabilities. It has features like object detection, facial analysis, text recognition, and content moderation.
Amazon SageMaker is another key offering offered by AWS. This platform allows developers to build, train, and deploy machine learning models. SageMaker inherently has algorithms and frameworks like TensorFlow and MXNet, which help optimize the development process for AI applications.
Moreover, AWS IoT Greengrass extends AWS cloud capabilities to edge devices. This approach allows local processing and real-time decision-making for AI in computer vision applications in environments with limited connectivity.
10. Deep Mind
DeepMind, a subsidiary of Alphabet Inc., puts a strong emphasis on advancing AI capabilities. The company focuses on the advancement of computer vision technologies through research and development. The AI technologies offered by DeepMind integrate deep learning and reinforcement learning methods to overcome complex problems in image understanding and analysis. DeepMind's research has led to breakthroughs in areas such as image recognition, medical imaging, and robotics.
AlphaFold is one of the innovative offerings by DeepMind that has an AI system for protein folding prediction. It assists developers with complex computational and visual tasks. DeepMind's research also explores the application of AI in healthcare, where computer vision plays a crucial role in diagnosing diseases from medical images.
Top 10 AI in Computer Vision Vendors in a Nutshell
Computer vision applications are allowing businesses to explore a wide range of technological innovations. This technology enables automated cars to maneuver through streets and highways safely. There is an immense amount of research and development happening in the field to explore new opportunities that technology has to offer. The above-mentioned top 10 AI in computer vision providers offer robust tools.
