The ability of computers to recognize objects is one of the most exciting sides of Artificial Intelligence (AI). Deep Learning-based Computer Vision software helps to solve Industry 4.0 and automated vehicle challenges by minimizing human intervention, providing a real-time solution for industrial and automotive applications, reaching an overall market value of USD 17.38 Billion by 2023.
The Learning to Develop Embedded Vision Applications for Object Detection and Feature Tracking webinar will show you step by step how to get your vision application up-and-running in less than 15 minutes using the complimentary NXP S32 Design Studio IDE and the NXP Vision SDK with Image Sensor Processor (ISP) and APEX graph tools. Example codes for Feature Tracking and Object Detection will be used by Kushal Shah (Systems & Applications Engineer – Automotive Microcontrollers and Processors, NXP) and Phil Pesses (Senior Technical Product Marketing Engineer – Automotive Microcontrollers and Processors, NXP) during the session to show you the straightforward development process of vision applications.
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