November 2021

State of Industry

The Role of AI And Analytics in Connected Cars

State of Industry /

Imagine a car in a remote area. Due to poor lighting, the car collides and meets with an accident. Earlier, it took time for the police to identify the accident and send the rescue team to save the driver. However, things have changed now. In 2018, the EU legislation made it mandatory that all cars must have an in-built technology to alert the police officials in case of an accident. The GPS data helps the police to detect the car’s location and reach there quickly. Imagine a car in a remote area. Due to poor lighting, the car collides and meets with an accident. Earlier, it took time for the police to identify the accident and send the rescue team to save the driver. However, things have changed now. In 2018, the EU legislation made it mandatory that all cars must have an in-built technology to alert the police officials in case of an accident. The GPS data helps the police to detect the car’s location and reach there quickly. Similarly, the driver can use a smartphone app to start the engine and make the windows frost-free before getting into the car. From entertainment to driver’s safety and comfort, connected cars have re-imagined transportation. These cars are connected to the internet through wireless LAN. It allows the car to share data with devices inside and outside the car. This helps in vehicle management and ensures driver safety. Technologies such as data analytics and artificial intelligence (AI) make these cars smart. Let’s look at the role these technologies play. Role of AI And Analytics in Connected Cars Preventive Maintenance Like other cars, connected cars are also susceptible to wear and tear. However, the difference here is that it’s easy to detect the issues in advance and take preventive measures to fix them. Companies can leverage AI to monitor the vehicle’s lifecycle in real-time and alert the driver to fix it. Analytics can be used to accurately predict when the vehicle requires maintenance to avoid unexpected breakdowns. AI and analytics are also useful in car manufacturing. Companies can detect the defects in car parts at an early stage before they are even installed and ensure vehicle and driver’s safety. Accident Prevention A driver has to witness multiple hindrances on the road – from pedestrians, objects, bicycles, etc. while driving. There are other potential dangers too, such as foggy weather, snow, potholes, etc. Navigating such an unpredictable external environment can be cumbersome for drivers. Analytics collects data from a car’s sensors. It uses it to train AI to predict human behavior and other road challenges to ensure that it alerts the drivers on time to avoid object collisions and accidents. Nissan, for instance, uses sensors to alert the drivers and automatically lock the seat belts to prevent collisions. As the sensors collect more data, AI will be more effective in preventing accidents and ensuring driver safety. Improving driver’s experience Today’s customers want personalized and safe experiences. From offering infotainment services to informing about safety parameters and sharing the maintenance schedule in advance, car manufacturers like Mercedes, Toyota, and BMW have already started personalizing the driver’s experience. AI and analytics help in personalizing these experiences. It provides insights on different factors such as fuel efficiency, battery life, etc. that could help in improving the driver’s experience. Being data-driven helps car manufacturers to meet customers’ expectations and stay ahead in the competitive curve. Connected cars have in-built sensors, GPS, and cameras that help gather data and improve experiences. Transparency in supply-chain AI and analytics have been particularly useful in improving transparency in supply-chain management. Connected cars use well-integrated software and hardware. Hence, car manufacturers must have full visibility on the supply-chain operations. They need to deal with diverse data sets and also compare different price ranges and the quality of different components involved in building the car. Given the complexity, analytics can be useful to manufacturers. With the help of analytics, manufacturers can identify potential risks in the delivery and fix them to ensure seamless operations. Analytics also helps car manufacturers to understand the customer and market demands, how they interact with the company, and use those insights to predict customer needs better. Leverage OTA updates to improve the experience The ultimate goal of a connected car manufacturer is to identify defects on time and produce good-quality cars that meet the customer’s expectations. Considering that connected cars use embedded systems, the software requires continuous updates to deliver a good experience to customers. Whenever an over-the-air software or firmware upgrade happens, analytics can track its performance in real-time and improve it based on the data collected. Eventually, all this helps to improve the overall experience of the driver. Conclusion Connected cars have become a game-changer in the automotive industry. By 2025, over 14 million semi-autonomous vehicles will be seen on US roads. However, to build such cars, automotive companies must invest in embedded product design and development. This will ensure that the hardware and software used in the vehicles work cohesively to provide a seamless experience to drivers. To build such intelligent and complex systems, companies need resources with specialized skillsets. At Intellore, we have a team of engineers, designers, and developers who possess the skills to build connected systems for connected cars. We understand the complexities involved in the connected vehicle space and thus, combine our software and hardware expertise to build connected cars for tomorrow.

IntelliBytes

10 Key Aspects of Intelligent Building Powered by IoT

IntelliBytes /

When UTBS (United Technology Building Systems) constructed the first intelligent building (City Place) in 1983, little did they know that their effort to amalgamate LANs, building equipment, and HVAC facilities would give birth to a groundbreaking architectural solution. In the past four decades, Intelligent buildings, as we know them today, have come a long way. The COVID-19 pandemic has only fueled their proliferation – both in terms of building from scratch and retrofitting. Besides, a switch to smart construction has always been on the cards because buildings are responsible for more than 40% of the CO2 emissions every year. To that end, the adherence to the IoT-powered energy-efficient buildings only seems justified. According to Markets and Markets, the intelligent buildings market is projected to constitute a market value of $108.9 billion by the end of 2025. That’s almost double the market size reported in 2019! As it stands, a host of factors are contributing to this growth, including energy price rise, remote building management, and the ever-advancing IoT-based buildings integration capabilities. That said, let’s take an informed look at some of the key aspects of IoT-powered intelligent buildings that are defining the future of construction: 1.     HVAC Control The ubiquitous presence of HVAC systems in buildings today is undeniable. But in most areas of operation, the increased demand for both increased HVAC power and better reliability is a critical issue. To this end, the incorporation of IoT has proven to be a win-win. Here’s how: 2.    Power Management The recent pandemic disruptions have ignited a discussion around energy and demand management, and understandably so. One of the key facets of this discussion is the ability to develop an intelligent Net-Zero building. In fact, International Energy Agency (IEA) claims that the application of smart appliances could result in substantial savings and significantly reduce CO2 emissions. Here’s how: 3.    Security Thanks to the ever-expanding IoT-driven cyber security landscape, the aim of building security has been to improve the reliability and efficiency of traditional physical access control systems. To that end, here’s what IoT implementation brings to the table: 4.    Communication Network By 2027, the number of IoT connections will surpass 12.3 billion worldwide, indicating the growing need for advanced data transmission infrastructure. The proliferation of the IoT is fueling the demand for more bandwidth and driving the need for a more visionary networking approach. At the center of such advancements is the coalition of data, audio, and video communication for intelligent buildings. With IoT, data, audio, and video information can be gathered around the clock. The application of IoT in the form of routers and access points helps to seamlessly interconnect devices in the building, thus creating an environment where voice, video, and data can be transmitted at optimum speeds. 5.    Fire and Gas System The need for intelligent sensors and systems to ensure security in the face of fire and gas is becoming increasingly critical due to buildings’ busy nature and the growing number of occupants. Thanks to the IoT, such developments are easily achievable: 6.    Lighting Control Almost 70% of a building’s overall cost (lifetime) can be attributed to day-to-day energy consumption. And much like the intelligent HVAC system, the adoption of smart lighting systems can help reduce this energy consumption. 7.    Parking Management A building’s parking must not be grouped under externalities, for it is an integral part of the building-integrated core. And for buildings with high-rise structures, like office buildings, parking is essential.  8.    Elevator Control It doesn’t surprise that the smart elevator market will be soaring through the ranks in the next four years, surpassing the market cap of $12.6 billion. Elevator and escalator systems, which have been plagued by a slew of problems, a number of which can be tied to security and safety issues, are in dire need of IoT integration. As it stands, IoT-powered elevators: 9.    Asset Management Implementing IoT-based building systems allows for low-cost integration of multiple types of sensors for both internal and external asset management. As a result, the process of asset tracking can be automated, and time-intensive elements – in terms of maintenance or security monitoring – can be eliminated. An example of the same would be the use of IoT-powered RFID tags for asset tracking. 10. Advanced End-to-End Structure The success of all the aspects mentioned above depends on the seamless hierarchical amalgamation of all IoT-driven systems within the building – an advanced structure that capitalizes on the ability of each system to communicate with its counterparts in real-time, without adding an unnecessary layer of complexity. That said, the intelligent building architecture is (and must be) composed of three layers: management, automation, and field. While the management pertains to administering the policies and sustaining the network architecture, automation satisfies energy, lighting, and communication management needs. As for the field level, it’s concerned with the ground-level administering of ventilation, temperature control, plumbing, parking, and more. Certainly, the benefits of IoT-powered intelligent buildings are manifold. Curious to know how IoT-driven automation can improve your building? Get in touch with us for more information.

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