App to analyze a picture (needs Image detection/analysis, machine learning and database)
Budget: $250 – $750 USD
Proof of concept project for running a classification machine-learning algorithm for images that run locally on smart phones and web based portal.
Given set of images, 2 images for each product. Taken from smart phone or upload via web.
First image is product front view.
Second image is close up of same, but clear shot of serial number.
From smartphone, utilize a template to frame shot, getting a clear view of product and; 2nd shot of serial number.
1. From fist image - identify the product, make, and model. ( compare with images on file)
2. From second image - isolate and read serial number. ( compare with file serial number)
3. Create database for images comparison and identification, product data ( make, model, etc)
4. Create input method for smartphone picture capture.
5. Create AI ML to analyze and identify the product and verify serial number with record.
6. Record to database the images captured and identification.
Given set of images, 2 images for each product. Taken from smart phone or upload via web.
First image is product front view.
Second image is close up of same, but clear shot of serial number.
From smartphone, utilize a template to frame shot, getting a clear view of product and; 2nd shot of serial number.
1. From fist image - identify the product, make, and model. ( compare with images on file)
2. From second image - isolate and read serial number. ( compare with file serial number)
3. Create database for images comparison and identification, product data ( make, model, etc)
4. Create input method for smartphone picture capture.
5. Create AI ML to analyze and identify the product and verify serial number with record.
6. Record to database the images captured and identification.
Related categories:
Python
Mobile App Development
Machine Learning (ML)
Database Development
Image Processing