Juzz4Logistics helps logistics and transportation providers to easily manage the security and condition of large vehicle fleets.

Using a combination of artificial intelligence (AI), mobile, and multimedia technologies, KAI Square has developed a unique mobile solution that helps logistics and transportation providers gain immediate information to easily manage the security and condition of large vehicle fleets.

Called Juzz4Logistics, it is a holistic turnkey solution comprising the ability to stream live surveillance videos back to the headquarters, play back recorded videos remotely, track vehicle movement and location, and intelligently monitor the health of vehicles on the road.

“While many solutions allow location-based tracking and passive recording, ours is the only solution which integrates positioning with live video, security controls, as well as sensors to ensure that vehicles are in good health,” said Mr Neo Shi Yong, Research Director and co-founder of KAI Square. “The system is also able to automatically track thousands of vehicles to make sure that the key safety thresholds are not breached.”

AI is an important aspect of Juzz4Logistics as it is practically impossible for an operator to manually keep track of the large volumes of information generated by large vehicle fleets.

Location-based tracking is combined with live video, security controls, as well as sensors to ensure that vehicles are in good health.

“It is not possible for someone to look through all the readings,” said Mr Victor Goh, Technology Director and co-founder of KAI Square. “So we have an AI system to track and analyse the readings of buses such as temperature, gas pressure, Global Positioning System, camera system, and so on, to ensure all are working well.”

However, the AI system does not mindlessly trigger alarms if certain parameters are exceeded, according to Mr Neo. “We want to ensure that it is not a random error or spike, so if the temperature is too high, the agent will continuously monitor the bus for the next hour to see if the temperature drops,” he said. “If not, then there will be an alert to management to recall the bus or send it for servicing. With AI, the system learns more the longer it is online, and by analysing the data, it will be increasingly accurate over time.”

The security aspect comes with the live video stream which ensures that companies are able to take immediate action if a critical event takes place like crime or an emergency occurs. “Our solution provides information transfer back to a centralised location for active fleet management,” said Mr Neo. “Additionally, there is a panic button for the driver to immediately alert HQ in case of emergencies.”

Juzz4Logistics uses StarHub’s 3.5G HSPA (high speed packet access) network which enables the system to stream good quality video at 1 fps (frames per second) as well as other relevant information from the vehicle to the operator’s central headquarters. “While the system makes use of public network, there is a two-factor authentication security measure to ensure proper security,” said Mr Goh.

The solution streams live surveillance videos back to the headquarters.

KAI Square plans to enhance the system in the future by incorporating the ability to push location-based advertisements and on-screen entertainment onto buses. “We want to leverage the AI system by adding as many different devices as possible,” said Mr Neo. “This can include payment services and route planning, as well as streaming location-based advertising information to the buses’ TV panels.”

“We also see the potential for it to be implemented in ambulances,” added Mr Goh. “If the condition of the patient is known by the hospital in advance, they can be more prepared.”

Juzz4Logistics was a winner in the inaugural SiTF (Singapore Infocomm Technology Federation Awards in September. The SiTF awards recognises local organisations that use infocomm technologies creatively to improve business processes.