ML/AI Object Recognition Project in C#.NET with Barcode and OCR Processing
Budget: $750 – $1,500 USD
Visual Studio 2022 Windows Desktop (WPF) project in C#.NET utilizing ML/AI object recognition of electronic component reels and the labels applied to them. Separate the labels and read (decode) barcode data into table and OCR into text field.
1) Select Image from Hard Drive or Drag and drop
2) Processing the image with ML model (non-labeled dataset provided)
3) Recognize electronic component reel and crop image
4) Recognize labels, separate them, crop and rotate for readability, increase contrast and brightness
5) Show details page with recognized barcodes and OCR (note: label can be switched in tabs or by clicking on label in reel image, clicking on label barcode or barcode table line highlighting vice-versa)
Questions for bidders:
- What ML libraries will you use? How will you label and train the model?
- What Image processing libraries will you use?
- What OCR and Barcode Reader libraries will you use?
1) Select Image from Hard Drive or Drag and drop
2) Processing the image with ML model (non-labeled dataset provided)
3) Recognize electronic component reel and crop image
4) Recognize labels, separate them, crop and rotate for readability, increase contrast and brightness
5) Show details page with recognized barcodes and OCR (note: label can be switched in tabs or by clicking on label in reel image, clicking on label barcode or barcode table line highlighting vice-versa)
Questions for bidders:
- What ML libraries will you use? How will you label and train the model?
- What Image processing libraries will you use?
- What OCR and Barcode Reader libraries will you use?