Image detection project of the "bell-mark stamps", which is a traditional donation project in Japan.

[The purpose] Detecting the characters on the image to divide each bell-mark stamp with the company's number, the number of stamps, and sum up the scores as the report. [Background] These stamps are applied to the product companies in Japan to support buying the school's equipment. Each school gathers these stamps with their effort and sums them up by sorting each company number and score. However, it takes too much time to conduct the work, and many volunteer parents try to do it manually. [Work package1] 1. Detect the characters in each single image 2. Make the output list Each column includes the company's number, the number of stamps, the sum of the score We provide some of each single stamp for the detection [W1] x 8 images The characters on each image: 1. Company's number e.x: ベルマーク番号 77 2. Score e.x: 1.5点 3. There are many sizes and colors, even in the same company, with the same score [Work package2] 1. Detect the characters in multiple images 2. Make the output list Each column includes the company's number, the number of stamps, the sum of the score - We provide multiple stamps for the detection. [W2] x 2 images [Work package3] 1. Detect the characters in multiple images 2. Show the company number and score below on each stamp for the confirmation - We provide multiple stamps for the detection. [W2] [Work package4] TBD, expect to detect the characters in stamps placed in different directions [W4] We expect the continuous project to make a smartphone application, however it is not included in the scope of this project. [The environment] - Python - Works on Mac (Ventura), mac book air It is sufficient to work on the command line without the GUI in this version. - No need for additional graphic board [The deviverables] - Python code with library information - test output [Expected duration] - Work1 1week - Work2 1week - Work3 1 week [Budget] - $120 (USD), however, we are preparing the additional payment in case the sophisticated worker Please do not hesitate to ask for the details. Best Regards,