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#News(IoTStack) [ via IoTForIndiaGroup ]
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.
Single Shot MultiBox Detector (SSD)
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.Components Needed for the Project
We utilized couple of libraries such as qt 5 where you have to install prior making the project work. And after not finding much support on dobot’s website, we’ve still managed to get Dobot Arm working with Raspberry Pi3.
The equipment needed is a Raspberry P i3 B+, Movidius NCS, robotic arm and Suction Cup Addon. Make sure you have a 5v/2.5 amp power supply, between camera, Neural Computing Stick and Pi itself we’d need a little more power. Personally I’ve tried 2.1amp and it was not enough.
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