The trend towards AI at the edge and the rapid advance of machine learning algorithms have brought new application challenges to traditional video surveillance systems. As a result, the edge video analysis (EVA) market, which uses AI to analyze images and videos and derive actionable information, has recently come to the forefront.
Since becoming an NVIDIA Quadro Embedded Preferred Partner, OEM Preferred Partner, and Jetson Elite Partner, ADLINK, has transformed from an embedded system developer to a leading provider of AI edge computing, and has worked with NVIDIA to create comprehensive AI edge platforms and solutions. By doing so, the two companies aim to help customers realize the value of AI edge computing and bring EVA functions to a diverse range of edge devices, and assist companies across industries to achieve business transformation.
In the "When ADLINK meets NVIDIA" webinar held on July 9th, the latest AI edge computing trends and optimal solutions jointly provided by the two companies were presented. In addition, application cases and practical deployment experience for different verticals, including manufacturing, healthcare, smart cities, and defense, were also introduced.
AI edge computing enables business transformation and added value
"AI has become a game-changing technology," said Jim Liu, Chairman and CEO of ADLINK, in the "Expert Talk", a session in which Eunice Chiu, VP, Sales & GM of Taiwan at NVIDIA Corporation, also participated. "By realizing AI at the edge, the way many devices are used will change from automation to autonomy."
"In particular, intelligent vision analysis will drive business transformation and value enhancement for various industries, such as manufacturing, retail, medical, smart cities, and sports. By leveraging our deep experience in the embedded market and integrating NVIDIA's powerful GPU product portfolio and rich software stacks for different verticals, I believe that our partnership will play an important role in the market."
"Data, domain knowledge, and fields for validation are the three requisites for successful AI solutions," Jim Liu stressed. "In addition, the deployment of AI edge computing involves the integration of processors, application software, platforms, security and other building blocks. No single company can provide all solutions alone. Therefore, partnership is very important and we should work with companies that have knowledge in different domains."
Eunice Chiu echoed by saying, "The challenges faced by the industry and its application requirements continue to evolve. For NVIDIA, we not only keep improving our GPU performance and product portfolios, but have also established comprehensive software stacks for various vertical markets. Our goal is to build complete end-to-end solutions so that we can help companies accelerate the innovation and deployment of AI edge computing." She also emphasized that, when selecting a technology partner for AI deployment, in order to ensure investment, it is necessary to cooperate with suppliers that can provide complete solutions, scalability and future-proof capabilities, as well as simplify complexity.
The two experts highlighted the fact that ADLINK and NVIDIA have worked together over the past few years and have invested a lot of resources to build the optimal platform for edge computing. As the development of AI edge applications matures, the problem of how to improve the efficiency, effectiveness and optimization of deployment will be the next issue facing the industry. In this regard, the two companies will together strengthen cooperation with end customers across industries and strive to embrace the huge opportunities in the new era of smart economy.
EVA in manufacturing, healthcare, smart cities, and defense industries
In the second part of the webinar, four "Solution Sessions" targeting manufacturing, healthcare, smart cities, and defense industries introduced the latest solutions from ADLINK and NVIDIA.
For smart manufacturing, ADLINK explained how edge AI vision can be deployed to assist the operations of automated optical inspection (AOI). Application cases including intelligent robotics, smart pallet, and AI AOI for contact lens defect inspection were discussed. Compared with traditional machine vision, AI AOI can successfully help manufacturers improve the accuracy and productivity of inspection.
For healthcare applications, a detailed explanation was given on how to improve speed and accuracy in medical imaging. By adopting diversified products jointly developed by ADLINK and NVIDIA, multiple challenges, including improving image quality, reducing harmful radiation exposure to patients, and satisfying the compact and small form factor requirements for advanced imaging equipment, can be overcome.
For smart cities, NVIDIA described how intelligent video analytics can be used to solve important problems across a range of smart city applications, such as retail, warehouse, and transportation, by using its Jetson-based hardware and Metropolis application/platform, and how to create higher value by realizing edge-to-cloud inference at the edge.
Finally, in the defense field, NVIDIA discussed the impacts and changes that AI has brought to defense applications. For example, radar, communications, sonar, image processing and other applications will more widely use AIOM (AI-on-Module) products with built-in GPUs to perform visual analysis, encryption, simulation and other functions, a fact that will drive significant growth of GPUs within military. In addition, a series of rugged board and module products jointly developed with ADLINK can meet the various size, reliability, and performance requirements of the next generation of defense devices.
AI will be ubiquitous in the future. Rapid and successfully AI deployment will be a key factor for the successful transformation to AI industrialization. ADLINK has evolved from focusing on embedded system development to being a leading provider of AI edge solutions in recent years. By leveraging NVIDIA's powerful GPU product portfolio and a wide range of vertical software stacks, ADLINK has created complete end-to-end solutions covering software/hardware platforms and system implementation. With the most suitable solutions, ADLINK aims to help customers accelerate their deployment and realization of innovative AI edge applications.
To learn more information about the optimal AI edge solutions jointly provided by ADLINK and NVIDIA, watch a replay of the webinar!
To learn more information about the optimal AI edge solutions ,watch a replay of the webinar
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