The future of the automotive industry lies in embedded AI and IoT. With vast amounts of data being produced 24/7, the cloud implies many challenges for further development, but there is a smooth, smart decentralized alternative called Eden.
Embedded AI has revolutionized the automotive industry by enabling vehicles to become smarter, safer, and more efficient. It can be used to implement advanced driver assistance systems (ADAS) that help drivers avoid accidents by detecting pedestrians, cyclists, and other vehicles on the road and providing alerts or taking action to avoid collisions.
There are so many uses for embedded AI in the automotive industry that it becomes silly to think about a future without it. Embedded AI can be used to personalize the driving experience by learning the driver's habits, preferences, and driving style, like when the car's infotainment system recommends music or podcasts based on the driver's listening history. It can also be used to optimize the car's fuel consumption by analyzing the driving patterns and adjusting the engine and transmission accordingly, which results in better fuel economy and reduced emissions, and it can be used to monitor the car's components and predict when they will need maintenance or replacement. Thereby embedded AI helps reduce downtime and increases the lifespan of vehicles.
But maybe the biggest eye-opener for most ordinary people is that embedded AI can be used to enable autonomous driving, where the car can drive itself without human intervention. This has the potential to revolutionize the transportation industry in the near future by reducing accidents, improving traffic flow, and increasing accessibility.
At the end of the day, the real beauty of it is that all embedded AI systems mentioned above can be easily connected by the Internet of Things (IoT).
Automotive IoT today refers to a complex system of devices (e.g., sensors, cameras, GPS trackers) connected to the cloud. It provides real-time data that enables the optimization of the car manufacturing process and more efficient transport management.
These solutions turn vehicles into intelligent means of transportation that, as already mentioned, leverage predictive maintenance. They also direct car-to-car interaction, AI-powered driving assistance, and other advanced features to enhance road safety and driving efficiency for individuals and businesses alike. At the same time, car manufacturers use automated production processes to reduce the likelihood of human error and enhance quality control.
Although there are some major concerns with automotive IoT being dependent on the cloud, these concerns are not "cloudy" at all.
One major problem with automotive IoT's cloud dependency is the potential for connectivity issues. The reliability and stability of the cloud-based IoT system depend on network connectivity, which can be affected by various factors such as signal strength, network congestion, and weather conditions. In automotive IoT systems, this can lead to disruptions in services such as navigation, infotainment, and vehicle-to-vehicle communication, which can be critical for safety.
Another issue is the security and privacy risks associated with cloud-based IoT systems. With a centralized cloud platform, there is a greater risk of data breaches and cyberattacks, which can compromise sensitive data such as user credentials, vehicle location data, and personal information. Additionally, there are concerns about data ownership and control, as cloud providers may have access to sensitive private information.
As if that wasn't enough, there's the effect on sustainability and CO2 emissions when large amounts of raw data are transported back and forth to the cloud 24/7. The situation isn't ideal, as forecasts indicate that Information and Communications Technology can surpass aviation and shipping by 2025, reaching 3.5% of global emissions.
We at IoE Corp solve these core challenges through the Eden system, a decentralized informed infrastructure that actuates sustainably, securely, and privately on all industry verticals through sustainable computing and ready-to-use implementations that result in quick IoT monetization.
Eden liberates IoT from the cloud by moving the data to onsite Online Private Gardens. It stores, analyzes, processes, and sends data to information on a real-time basis 24/7, eliminating the security risks beyond cyber since it is not running on the World Wide Web, but works as an autonomous platform on the core internet. Security risks that get eliminated beyond cyber are the same risks all centralized solutions open up for when raw data gets moved to server centers and then back to the source.
As if that's not enough, Eden reduces costs at the same time that it's ecologically sustainable and secure. Eden is a private platform that thrives within Industry 4.0. This decentralized model is based on scalable device clustering where data is processed to information locally in the Eden Edge Cluster so that raw data is never needed to be pushed to the public cloud. It is a compute-efficient and cost-effective model that saves on bandwidth and external resources.
It is also easy to add new devices as nodes and make it possible for any device to contribute computing resources over an intelligent mesh network so that computing can happen where needed and close to where the results will be used.
We have developed quantum-safe tunnels, using polymorphic encryption keys and a consensus blockchain, to verify the data moved between the nodes over the tunnels, thus creating trusted data private gardens and achieving data trust in Zero-Trust environments. The orchestration of computing and storage is done via service manifests that describe service rules, policies, and logic. An autonomous knowledge-based AI manages the underlying orchestration mechanics, using network consensus over the blockchain as a deciding mechanism.
With Eden, the amount of data traversing the network can be significantly reduced, freeing up bandwidth. Bandwidth measures the quantity/size of data a network can transfer in a given time frame. Bandwidth gets shared among users. Accordingly, the more data is supposed to be sent via the network at a given moment, the slower the network speed. Data on the edge is more likely to be helpful in the context of its environment. Instead of constantly sending data streams to the cloud, it makes sense to work with the data on the edge and make information available to services that can request it.
To wrap it up, keeping data generation at the source gives more security because it is unnecessary to move the data to server centers. It also reduces costs tremendously as the data to information is refined onsite, consequently eliminating the unforeseen costs of data analysis, processing, and cloud delivery. At the same time, the Eden system is highly sustainable, and these are just some of the reasons why Eden is a perfect match for the automotive industry.
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