- A weighbridge is one of the key critical areas for crop selling to the framers.
- A lot of mischievous activities happening at this stage which resulted in farmer's suicide rate increased by 15% every year.
- We want to solve the weighbridge problem using object detection by the YOLO framework a neural network and deep learningmodel which runs on a cloud for processing and images captured by Raspberry Pi.
- This framework guides the user to avoid the weighbridge misplacement.
- Using Anaconda Navigator with YOLO,Tensorflow a video guide for object detection.
- The following link holds important files:Google drive.
- The reference video is TeamGo.mp4.
- You need a Windows10 PC with 8GB RAM and Nvidia GPU.
- First of all create a separate work environment on Anaconda Navigator to run YOLO work-flow.
- Download YOLO files of .cfg and .weights for object detection from offical website.YOLO
- Install tensorflow-gpu, conda numpy etc prescribed in TeamGo.mp4.
- Inorder to use C++ files of YOLO we need to install Visual Studio developer version 13+ version.
- Use help.txt file commands info.