The ability to monitor, in real-time, the movement of cars, people, trucks, ships, bicycles, machinery and more, provides competitive advantages for organisations. These advantages allow companies to gather extensive amounts of data over short periods, allowing them to alter their business models and functionality according to the requirements provided by the insights. In this article, Secure Agility discusses how integrating IoT and AI (AIoT) can help enhance supply chain efficiency and improve transport industry logistical operations, including intersection and traffic light optimisation, parking lot utilisation and taxi rank monitoring.
How AIoT Works
IoT services from Secure Agility work in coordination with AI to track the movements of vehicles, bikes and people in public spaces. Through video surveillance and state-of-the-art technology, AIoT for transport has become one of the leading visual-based analytical solutions in Australia. According to Ahmed Abdeldayem, IoT Practice Lead, Secure Agility, “our integrated AIoT Transport solution can detect and report on transport infrastructure, and events, visually. We can alter the technology to optimise data collection to sui. For example, parking lot companies may want to focus on monitoring occupancy rates during certain times of the day. We can concentrate the data collection around this point of interest, giving your organisation the information it requires.”
RoadSight
The RoadSight suite of products from Secure Agility ushers in a new era for the transportation industry. Through AI visual detection methods, RoadSight can monitor vehicle counting, incident detection, and parking enhancements. With the data collected from these systems, we can increase safety by identifying accident and incident-prone areas, as well as work towards a more sustainable and green future for the industry.
Intersections and Roads
The beauty of AIoT transport systems from Secure Agility is its ability to obtain large amounts of data in a short period and put it into easy-to-understand and relatable packaged products. For example, when it comes to optimising intersections and roads for efficient traffic flow, IoT services can monitor the busiest periods, the types of cars that drive through the area and the different types of interruptions that affect traffic flow. Furthermore, in terms of improving safety, AIoT systems can monitor incidents and accidents, categorising them into different causes. This allows governments and companies to implement the right changes in the right areas to improve road efficiency and safety.
Parking Lots
Parking lot companies utilise IoT visual monitoring systems for several reasons. One of the main reasons is to better understand usage rates and occupancy levels for parking lots throughout the day. This allows companies to optimise their parking prices to be more profitable and optimised while also looking into aspects such as driver violations and traffic flow.
Taxi Ranks
Monitoring taxi ranks with IoT services gives insights into driver violations, double-parked taxis, fare refusal and safe drop-offs and pick-ups. It also allows taxi companies to optimise operations and their dispatch process.
To learn more about AI IoT in the transportation industry, contact us online today.
