Autonomous driving demo [white line recognition & signal recognition] explained clearly using toys!
Image processing application example: Autonomous driving car demo. No sensors or CPUs are used at all.
This is an example of added value different from image processing. LEGO is used as a wireless-controlled car with a motor. No sensors or CPUs from LEGO are used at all. By equipping it with a wireless camera for parking lots and incorporating white line recognition and signal recognition functions, a demonstration of an autonomous driving car was completed. I tried this as an application example of image processing.
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It's a very simple process, so the CPU power is light. It's not at a level that can be mounted on a real vehicle, but I have displayed a command box on the computer screen, so please take a look. Just like a human, it wobbles and controls with only two types: a little to the right or a lot to the right.
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In the warehouse, automated guided vehicles, etc.
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Due to our focus on image processing, we have a wide range of applications, including "medical devices," "automotive image processing," "inspection equipment," and "wide dynamic range cameras," among others. We have prepared many implementation methods, so if you specify the image processing functions you would like to add to your products, we will consider the implementation specifications, schedule, and costs, and create a "proposal." For image processing software development, we provide implementation methods using algorithms for "learning," "recognition," "search," "image synthesis," and "defect repair," as well as device drivers for PCIe and ARM firmware. In hardware development, we have 27 years of experience with image processing boards using SoC FPGAs from Intel (Altera) and AMD (Xilinx), as well as FFT, labeling IP, image transformation, and more.
