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Object Detection System - List of Manufacturers, Suppliers, Companies and Products

Object Detection System Product List

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[Development Case] Smart Ferry Development Project

Responsible for the development of a product label image analysis system using AI technology! Conducted positioning of detected objects.

Our company, which develops image processing systems utilizing AI, has participated in the "Smart Ferry Development Project," part of the unmanned vessel project "MEGURI2040" promoted by the Nippon Foundation. In the demonstration experiment for the unmanned operation of large car ferries, we were responsible for developing a cargo image analysis system using AI technology capable of detecting other vessels at night with infrared cameras. By combining object detection from infrared camera footage with hull posture detection using high-precision GPS and accelerometers, we performed positioning of detected objects (distance, speed, and heading). [Case Summary] ■ Participation in the "Smart Ferry Development Project," part of "MEGURI2040" ■ Responsible for the development of the cargo image analysis system - AI technology capable of detecting other vessels at night using infrared cameras - Combination of object detection and hull posture detection using high-precision GPS and accelerometers - Positioning of detected objects (distance, speed, and heading) *For more details, please refer to the PDF document or feel free to contact us.

  • Image Transmission Equipment
  • Image Processing Equipment

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Moving Object Detection System "FieldAI2"

It is a surveillance camera that uses image processing technology.

FieldAI2 is a surveillance camera that utilizes image processing technology, capable of distinguishing between people, bicycles, and cars, and can detect the direction of intrusion of objects as well as entry into specific areas.

  • Video Recorder

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[Development Case] Development of Automobile Collision Avoidance System

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 so far. Furthermore, we provide all the elements necessary 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 ■ Development Languages: C#, C++ ■ Network Used: YOLO v4 tiny *For more details, please refer to the PDF materials or feel free to contact us.

  • Other contract services

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