Project Video

• 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.