Artificial Intelligence (AI) and the Internet of Things (IoT) have had a significant impact on various businesses, but the industrial and automotive industries have been particularly affected. According to projections, AI in the automobile industry would increase at a compound annual rate of about 40%, reaching US$15.9 bln by 2027. The demand for linked automobiles and smart technologies such as speech and image recognition continue to rise around the world. As a result, AI and IoT will continue to play a role in automobile design, production, and use. Technology that allows computers to learn and respond on their own and complete tasks without human intervention has advanced dramatically in recent years, and it is now positioned to have a huge impact on all parts of society, including the car repair industry. Despite the fact that the auto repair industry has always been eager and flexible to change, the next wave of technology will be the most disruptive shift we’ve ever seen. The current rate of change is unparalleled, and shop owners who survive and grow must adopt new approaches to manage their businesses and optimise earnings sooner rather than later in order to stay competitive.
AI in the Auto Repair Industry
Many people associate AI in the automobile industry with self-driving or autonomous vehicles. Although these automobiles are one of the most visible displays of technology, there is much more going on behind the scenes – and under the hood. Using artificial intelligence to automate a visual process, such as examining car damage, is a near-instant technique to give insurance consumers with critical information regarding the degree of the damage.
AI has also become an important aspect of the interaction between automotive production and sales. Predictive modelling can better regulate output based on real-time demand using sales and vehicle data. During the recent pandemic, the sector has seen repeated supply chain breakdowns, necessitating this adaptability.
The consumer can choose whether to have a repair done right away or wait after a machine vision algorithm analyses the auto damage. For individuals who need or want to proceed with the repair, AI may be able to help them all the way until they pick up their automobile from the body shop. AI capabilities for accident triage are one useful application, but insurance firms may also employ AI to assist prevent accidents from occurring in the first place. Implementing machine learning tasks to allow for safe driver routing and parking consider taking a trip into the city while avoiding the riskiest crossroads.
IoT in the Auto Repair Industry
IoT is a network that connects billions of complicated items such as electronics, sensors, gateways, actuators, and platform hubs. These physical devices communicate with one another over a wireless network. Connected objects (or things) share data and operate independently of human interaction. The development of technology that will make vehicle maintenance and servicing more convenient is now underway.
More than 163 mln active IoT connections will be in the vehicles by 2025.
Nonetheless, the internet of things offers enormous opportunities for the vehicle business. The ultimate goal of IoT automobiles is to connect cars to each other and to the road, resulting in a safer and more efficient traffic network. The following are the primary benefits that IoT can provide to the automotive industry:
How can you Accelerate the Future of the Automotive Industry using AI & IoT?
Below, we list some common tools and frameworks that might be useful in your AI-powered automotive project.
Deep learning frameworks: PyTorch, TensorFlow, and Keras.
Simulator platforms: CARLA, Cognata, Apollo Auto, Autoware.Auto & NVIDIA DRIVE.
Open-source datasets: PandaSet, nuScenes, Waymo Open Dataset & Berkeley DeepDrive BDD100k.
Data processing libraries and platforms: deck.gl, streetscape.gl, Geospatial Data Abstraction Library (GDAL), NumPy & Automated Driving Toolbox.
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