Using AI on the edge to classify recycle vs. landfill and use robotic arm for sorting the garbage.
Robotic Arm has already been changing the evolution of human being. But the knowledge is usually kept as industrial level, while building this project, it was still difficult to find open source guides and libraries that both utilizes and controls the robotic arm, so I’ve decide to write a guide on how to use the robotic arm using Raspberry Pi 3 to sort out recyclable garbage.
If we want robotic arm to move on it’s own we’d need AI on the edge. In this specific example we are going to use detection method since the arm shouldn’t do anything when nothing is detected.
According to Google Research Publication, Single Shot MultiBox Detector (SSD) discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location. At prediction time, the network generates scores for the presence of each object category in each default box and produces adjustments to the box to better match the object shape. network also combines predictions from multiple feature maps with different resolutions to naturally handle objects of various sizes.
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