Comprehensive provision from software to hardware! Introducing a case study on the development of an automotive collision avoidance system.
To put technologies such as object detection using Deep Learning into practical use, systematization is essential. At our company, in addition to Deep Learning, we have proposed software based on the hardware control and communication technologies we have cultivated over the years. Furthermore, we provide all the necessary elements for systematization in a one-stop manner, including the selection of hardware such as cameras suitable for the system. [Development Example] ■ OS: Windows, Linux ■ Development Period: Poc 3 months, Development 4 months (prototype) ■ Number of Developers: 3 people ■ Programming Languages: C#, C++ ■ Network Used: YOLO v4 tiny *For more details, please refer to the PDF materials or feel free to contact us.
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【Other Development Examples】 ■GPU ・Development: GTX 1080Ti ・Operation: Jetson Xavier AGX ■Number of Training Data: Approximately 160,000 images ■Related Technology: Object Detection *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Currently, all technologies in the world are dramatically evolving around AI. And the speed of this evolution is expected to accelerate even further in the future. These changes are also bringing about shifts in the behavior of people in society, with waves of transformation hitting traditional business models. In this tumultuous era, we will provide solutions to various societal challenges with curiosity, power, and technology. Being involved in software development, particularly in AI development, means contributing to the evolution of various technologies in the world, benefiting society, and making people happy. This is our mission and our greatest joy.