The Intellias team has completed an R&D project for an Android car keyboard application with a handful of premium features including handwriting recognition. This was our company\u2019s response to market demand for a solution that would address some of the most common challenges and inclusivity needs faced by drivers on a daily basis:<\/p>\n
With all these driver pain points in mind, we came up with a check-list of hard requirements for our product. Intellias has successfully conducted an R&D project that demonstrates our strong technological capabilities and background in neural networks, machine learning, and artificial intelligence<\/a>. After a series of team meetings and workshops, we confirmed that our solution offers an efficient input method.<\/p>\n Our team of Android and machine learning developers, security and maintenance specialists, designers, and QA engineers started to work full steam ahead on our R&D product.<\/p>\n The custom Android keyboard application supports several modes of user input: standard, swipe, and handwriting recognition. It can understand finger-written text and lets drivers communicate efficiently with their car infotainment system without taking their eyes off the road. This solution is extremely intuitive, recognizing any natural handwriting: uppercase, lowercase, cursive, block, and even superimposed text.<\/p>\n Thanks to the system\u2019s integration with user information, drivers can enter a destination, view points of interest on the map, change climate control settings, turn on their favorite music, and call or message their contacts \u2500 all with the twist of a finger. The application\u2019s ability to capture handwritten content from scanned images and even suggest and predict words based on a user\u2019s habits and writing style provides convenience to drivers and increases safety.<\/p>\nSolution delivered<\/h2>\n