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A collection of over 250 uses for artificial intelligence

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Handwriting recognition

Introduction

The advancement in the fields of AI and ML has led to the development of several technologies out of which handwriting recognition is one. This advanced technology is used in the automotive sector to interpret handwritten information related to infotainment systems, ease data entry and improve the overall usability. Using the concepts of Computer Vision (CV), the AI algorithms are able to comprehend and decode the handwritten text and convert it into computer encoded text. The use of this technology in the automotive sector is a step towards the development of the smart and convenient driving experience.

Challenges

The application of CV AI in handwriting recognition in the automotive sector has some challenges to address. Such factors as the variety of handwriting, the shape of characters, and their size make the problem rather complex. Other challenges include variations in user’s background, writing style, and script differences. The technology also has to contend with challenges such as the occlusion where some parts of the characters are masked and segmentation where the characters are not well defined. Also, the issue of whether the technology will be able to perform effectively under various lighting conditions and writing surfaces when used in vehicles is important. Finally, implementing the technology in a way that does not affect the current automotive systems and ensuring that user’s data is safe are some of the challenges that need to be solved.

AI Solutions

To address these challenges, AI solutions use deep learning and neural network techniques. Some of the most used algorithms are the Convolutional Neural Networks (CNNs) and the Recurrent Neural Networks (RNNs) that can do feature detection and sequence forecasting respectively. There are companies such as MyScript and CursiveLogic using machine learning to develop handwriting recognition algorithms that can be customized according to the user’s handwriting. They have a large number of written samples which they use to train their models and hence the models tend to become more and more accurate and efficient with time. Further, there are contemporary cars that have incorporated the use of AI in the interior of the car such as Audi’s MMI touch response which incorporates the use of handwriting recognition to operate different parts of the car. Also, the problem of data privacy can be addressed by performing and storing data on the local device, instead of sending it to a cloud server.

Benefits

There is a wide range of CV AI applications in the automotive industry for handwriting recognition and each of them adds value in one way or another. It makes the interaction more individual for the user, which means that drivers can input commands in the form of their handwriting. This is to minimize distractions as the drivers will not have to take their eyes off the road. It also streamlines the input process of systems that require text input, including navigation systems, and thus makes them more intuitive. Also, it offers a means through which one can interpret handwritten information or markings in vehicle service and maintenance records to help with the digitization process. Also, it can be applied in ADAS to recognize such things as unorthodox or handwritten road signs.

Return on Investment

Investing in CV AI for handwriting recognition is a good investment for automotive companies as it can give a good return on investment. It can improve the satisfaction of the customers through simplicity and adaptability of the system which may result to high sales. It also minimizes the time and effort needed for data entry and the dependence on humans, thus reducing costs in the process. In addition, it offers a competitive edge in the current automotive industry that is becoming more and more technological, which could result to higher market share. BMW, for instance, stated that their customers well received the handwriting recognition feature that was incorporated in their iDrive system thus enhancing their market standing.

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