Raspberry Pi-based Scanning Translation Device
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1 School of Electronics and Information, China West Normal University, NanChong August 7, 2016 School of Electronics and Information, China West Normal University, NanChong
2 Introduction Implementation Usage Summary School of Electronics and Information, China West Normal University, NanChong
3 Functions 1 Data acquisition and processing 2 Optical character recognition 3 Word translation and Pronunciation School of Electronics and Information, China West Normal University, NanChong
4 Hardware components Figure : The main components of the system:charge-coupled device(ccd), ADC converter, Raspberry Pi School of Electronics and Information, China West Normal University, NanChong
5 The diagram of procedure Figure : Software procedure School of Electronics and Information, China West Normal University, NanChong
6 Acquire data from CCD Linear CCD: TSL1401RLF, a linear sensor array consists of a array of photodiodes, associated charge amplifier circuitry The CCD is to convert the light intensity to analog voltage School of Electronics and Information, China West Normal University, NanChong
7 Convert voltage to digital number ADC converter: ADC0832 to convert the output voltage from CCD to digital number Figure : The schematic diagram of the system School of Electronics and Information, China West Normal University, NanChong
8 Binaryzation and data saving Save the light intensity into a 1-D array Binaryzation: According to the light intensity and the threshold value, modify the values of the array, which results in new light intensity Output results to a text file School of Electronics and Information, China West Normal University, NanChong
9 Creating picture and denoising Use Python to crate the picture according to the text file we have gotten Figure : The original picture School of Electronics and Information, China West Normal University, NanChong
10 Creating picture and denoising Denoising: Step 1 Figure : The picture after removing vertical white stripes School of Electronics and Information, China West Normal University, NanChong
11 Creating picture and denoising Denoising: Step 2 Figure : The picture after removing horizontal black stripes School of Electronics and Information, China West Normal University, NanChong
12 Creating picture and denoising Denoising: Step 3 Figure : The final picture School of Electronics and Information, China West Normal University, NanChong
13 Optical Character Recognition(OCR) OCR: The mechanical or electronic conversion of images of typewritten or printed text into machine-encoded text We use tesseract, a command-line OCR engine, in our system Command line usage: tesseract testjpg test -l eng Extra: Case conversion, delete useless characters,save to file School of Electronics and Information, China West Normal University, NanChong
14 Translation and Pronouncing Console Version of StarDict program (SDCV): espeak (A multi-lingual software speech synthesizer) School of Electronics and Information, China West Normal University, NanChong
15 Finished product Figure : The finished product School of Electronics and Information, China West Normal University, NanChong
16 Connect to a computer Figure : The device connected to a computer School of Electronics and Information, China West Normal University, NanChong
17 Menu Figure : The menu We can choose any operation from the list School of Electronics and Information, China West Normal University, NanChong
18 Recognition of words Figure : Recognition of words School of Electronics and Information, China West Normal University, NanChong
19 Off-line translation of words Figure : Off-line translation of words One can download any dictionary they need School of Electronics and Information, China West Normal University, NanChong
20 On-line translation of words Figure : On-line translation of words We can use Youdao API to translate words on-line School of Electronics and Information, China West Normal University, NanChong
21 Sentence recognition Figure : Sentence recognition test School of Electronics and Information, China West Normal University, NanChong
22 Sentence translation Figure : Sentence translation test School of Electronics and Information, China West Normal University, NanChong
23 Summary The Raspberry Pi-based scanning translation device can acquire and process data from linear CCD, recognize optical characters, translate words and sentences, and covert to audio signal Data acquisition( C), processing(c), denoising(python) are implemented in this project Auxiliary tools: OCR, sdcv, espeak, Youdao API School of Electronics and Information, China West Normal University, NanChong
24 Acknowledgment Prof Chen Yuanli, Prof Zhu Liuping, Huang Meiying (China West Normal University) School of Electronics and Information, China West Normal University, NanChong
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