For Fleet Management Artificial Intelligence (AI) and Internet of Things (IoT) Complement Each Other

The application of artificial intelligence to the internet of things (IoT) is experiencing drastic innovation in a wide range of industries that include healthcare, manufacturing, and transportation.

The main role of IoT is to focus on developing remote sensor systems in order to collect data that can be connected to the systems with the artificial intelligence of things (AIoT). This step is making the entire approach even smarter. The system now can enable the automated-processing of human-inspired decisions by combining intelligent cognition with computing and autonomous capabilities. The approach provides manyfold benefit that mainly include high accuracy and low cost.

In the fleet safety industry, technology acts as the backbone especially when it comes to commercial transportation. Sectors that generate a huge amount of data must incorporate AIoT which can’t be processed by humans. In the transportation industry, a large volume of data is generated by the vehicle regularly, as the fleets adopt the recent technology named- the latest advanced driver-assistance systems (ADAS) and reinvent their technology footprint.

What are the risks of the system?

Even after graduation, the system has some challenges like:

• Combining video and vehicle data are difficult while detecting and mitigating safety risks.
• Lack of storage and computing capabilities to process all the data.
• Analyze and interpret all the data in the cloud.
• Cloud transmission getting prohibited by hi-resolution data generated by devices installed in commercial vehicles.

How to deal with the system challenges?

To solve the above-mentioned issues, AIoT technology can be amalgamate with the machine learning capabilities of the in and on-vehicle devices so that the computing power of the cloud processing environment gets better. Now the installed devices can deduce advanced insights with the help of the integrated approach, it can now easily summarize the data before transmitting to the cloud.

The main feature of the AIoT system is it is bi-directional, which means it can bring data from hundreds of on-board devices, it can also identify the threads which in turn will inform how these connected devices would make decisions in the future.

Role of Trigger Management

Trigger management is crucial to transportation safety, sending the proper notification in the proper direction is important to avoid a costly collision that includes saving lives. When it comes to fetching data from every vehicle is not an easy job especially when it correlates the safety outcomes in the cloud, with AIoT it is easier to notify drivers with the correct cues.

In the commercial transportation sector, AIoT has an enormous potential to deal with some of the growing issues like a distraction, speeding along with weather conditions, parking in narrow road corridors, etc.

AIoT is no doubt the new-age solution to the growing issues of fleet management, this technology can guide the government to take the right steps regarding selecting the most efficient routes. This video-based safety and intelligence will open more possibilities in the sector.