Identify corn in any weather! Introducing a case that has been thoroughly prepared to withstand continuous use during the tournament period.

We would like to introduce a case where Aristurtle has implemented our Go series cameras to work on the development of a fully autonomous system. In autonomous vehicle racing, the most critical technology that determines success is machine vision. Fully autonomous racing cars, which do not have drivers, require advanced and efficient machine vision hardware and software to understand track limitations and road conditions. The company selected two JAI Go series cameras and installed them diagonally under the main hoop of the autonomous racing car "Thetis." Both cameras are used to provide image data to a neural network model for object detection. [Case Overview] ■ Challenge: Identify cones in any weather while maintaining high-resolution image quality transferred to machine learning algorithms. ■ Benefits: - Gained advantages of lightweight and compact size when integrating into the racing vehicle. - Ensured top-level image quality with appropriate focal length and field of view. *For more details, please download the PDF or feel free to contact us.

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