Vision systems have evolved from simple camera-computer setups to sophisticated implementations that leverage IoT connectivity, multiple cameras, and AI technology. As per Markets and Markets, the global AI in computer vision market is valued at USD 17.2 billion in 2023 and is projected to reach USD 45.7 billion by 2028. The launch of high-performing hardware such as CPUs, GPUs, smart cameras, and lenses has accelerated the deployment of AI-enabled vision systems.
In this webinar, we have majorly covered, “the challenges and technical considerations for architecting vision-based AI solutions”. You will discover more about the latest platforms, solutions and best practices for scaling and managing filed deployment.
Director – Solution Architecture
eInfochips, an Arrow Company
Aarohi has a master’s degree in electrical and computer Engineering from Georgia Tech, Atlanta. Prior to joining eInfochips, she was working at a leading platform company in Santa Clara as a Systems engineer.
Engineering leaders / CTO/ Product Managers looking to leverage Intelligent Test Automation
Solution and technology architects developing smart solutions