1/22/2024 0 Comments Sign translator![]() ![]() (training set) Accomplishments that we're proud of We also ran into compatibility issues programming in Node.js 6 and Node.js 8. We ran into asynchronous JavaScript issues and had to implement a promise based solution. ![]() Moreover, working with Firebase Cloud Functions was extremely tedious. In the end, we had about 800 training images for each letter in the alphabet. To overcome background noise, we took moving videos of each sign against different backgrounds and extracted the frames as training data. Our first models were not able to detect signs in different backgrounds. We spent a long time setting up the development environment for Expo and only got it to work on one laptop.Īdditionally, training an effective machine learning model was challenging. When it is time to call the Twilio API, the app invokes another Cloud Function, which invokes the Twilio API. After the classification, the character is passed back to the app, which displays the characters on the screen. The cloud functions call Cloud AutoML Vision, which classifies the image with a convolutional neural network trained from over 17,000 image collected during the 36 hours at MHacks. The base64 string is then passed to Google Cloud Functions. The app is built using Node.js Expo, which takes an image and converts it into base64. After ending the session, the app sends a text via Twilio to a desired phone number. If no hand is detected, trAnSLate inserts a space and reads aloud the previous word. Take our your phone, open the trAnSLate app, and hear ASL turn into words as our app does the heavy lifting.Īfter hitting start, the app takes a picture and classifies it in 1.5 seconds. It translates ASL signs it into English and reads them aloud in real time, enabling instant interpretation of the ASL. Enter trAnSLate, a real time American Sign Language translator. However, there is no support for American Sign Language, leaving millions of people behind. There are hundreds of widely used languages in the world, and machine translation services such as Google Translate are doing a good job translating texts and speech.
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