Nov 15, 2021
No image
Completed
Deep learning-based anti-counterfeiting solution
$10,000+
2-3 months
Denmark, Copenhagen
2-5
Service categories
Service Lines
Big Data
Software Development
Domain focus
Technology
Programming language
Python
Frameworks
Torch/PyTorch
Challenge
The client needed to tackle goods counterfeiting in their industry with modern technology. So the InData Labs team was challenged to develop a solution to recognize and verify marks applied on top of QR codes.
The client needed to tackle goods counterfeiting in their industry with modern technology. So the InData Labs team was challenged to develop a solution to recognize and verify marks applied on top of QR codes.
Solution
We suggested some possible approaches to solve the problem and test the results. We employed a convolutional neural network (CNN) to train the model to recognize and verify patterns.
We suggested some possible approaches to solve the problem and test the results. We employed a convolutional neural network (CNN) to train the model to recognize and verify patterns.
Results
Our team developed an Android app for QR code recognition. Using the app, the user takes a pic of a QR code, the model recognizes it. All the results get checked against the database, and the app sends the verification or a counterfeit alert.
Our team developed an Android app for QR code recognition. Using the app, the user takes a pic of a QR code, the model recognizes it. All the results get checked against the database, and the app sends the verification or a counterfeit alert.