Solution Manual Of Fundamentals Of Digital Image Processing By Anil K Jainzip
Solution Manual Of Fundamentals Of Digital Image Processing By Anil K Jainzip - https://urlin.us/2td6MH
Together, smart devices and network technology are the drivers of current digital fleet management and telematics solutions. A well-placed GPS device will alert the fleet to a potential problem. A camera is used to capture a picture of the vehicle. The communication capabilities either ingested into an onboard system with advanced connectivity or as a Wi-Fi hotspot allows the fleet manager, drivers, and passengers to access the data collected in real-time. In-vehicle systems can help reduce cost per hour of operation, improve visibility, and keep vehicles clean. It can help fleet managers and operators share data through their global fleet management platform and make better decisions based on more information.
An applicable example of IoT-enabled fleet management is GPS-based systems that detect when a vehicle is speeding. Fleet managers are receiving telematics data from the vehicles and can use information as soon as a problem is detected to apply optimal actions. IT systems can automatically alert the appropriate personnel when a vehicle is speeding or the battery needs to be replaced.
Drones loaded with sensors and cameras are changing the way our society operates. The same applies to emergent technologies like ride sharing, transportation as a service, and autonomous vehicles. Access to the near-real-time data and analytics makes these advancements possible. A strong fleet management system that can analyze the information on a real-time basis by network-connected equipment can help to simplify the process of delivering these innovations.
The modernized fleet management system allows for near-real-time data and analytics to help support brave new innovations that are on the horizon. A manufacturer’s fleet of hundreds of thousands of vehicles could be equipped with IoT-enabled devices that connect to the vehicle’s onboard computer, which collects and processes data from the vehicle. The fleet management system can manage the vehicle, track data and trends over time, and make near-real-time, informed decisions on the best actions and procedures for the vehicle and the fleet as a whole. As the network connects and more data is collected, the fleet manager can make better decisions in the moment with less work and resources. d2c66b5586