![]() ![]() Then the program will wait for the key press from the keyboard to takeĪn image. The first stage is image taking, here we connect PiCamera to the raspberry pi and initialize the camera when function is called. The operation procedure of this function is shown below in Figure 3. In the beginning, pytesseract need to be installed on the raspberry pi. It has wrappers for different languages, and the wrapper we implemented in our program is pytesseract because the program is based on Python. The OCR library we chose to use is Tesseract, which is an open As a result, an OCR (Optical Character Recognition) library need to be implemented here to recognize the text information in the image. To do this, the text in the image need to firstly be extracted. The first function is the image to text translation, the user could take an image of the words or sentences that they want to translate, and then the piTFT will display the translated result. The function of our project contains three main functions that focuses on performing language translation, which are image to text translation, voice to text translation, and the QR code translation. Thus, we just need to carry this embedded device instead of carrying a heavy computer with us. And this device will be designed to achieve the specific function of translation on the mobile device based on Raspberry Pi,Īnd we can import the voice into the device and it will give real-time response. Is a computing system which possesses the ability of executing a specific function and real-time computation. In addition, we are also considering making it possible for the Raspberry pi to recognize the voice input and then extract the information from the voice and perform the translation instead of just relying on the camera. Hence, we hope to get text information from QR code directly and if you want, we can translate it to another language. However, someone who forget to bring smart phone cannot access Internet. QR code without providing text information. For example, for smart mobile phone, the account and key of WIFI can be shared by scanning ![]() Some language information can be embedded in QR code. As a result, our project focus on making translation easier by extracting the text message from the picture taken by the camera using OCR technologyĪnd send the text information into the interpreter API to translate it into the language we desire.Īlso, the QR code is a hot technology recently and it can transform information in a private format. For example, Google can use image as input and get result about for the imageĪnd Siri in the iPhone can execute the corresponding instruction according to the user’s speaking. ![]() Some companies develop technology about AI to get information from pictures, audios and so on. They do not understand the language, they do not know how to type in. Some e-dictionary or app on mobile phone has the function of translate, but most of them need the user to type the sentences or words by hand. ![]() They need a translator to help them to understand the language. Sometimes they cannot understand the local language on the sign, spoken language and so on. Our goal is designing an auto translation machine on R-Pi since recently, people all over the world are more willing to travel to different counties. ![]()
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