Smart e-Plate System is defined as an electronic number plate that uses RFID (radio-frequency identification) tagging to enable automatic identification of a car. A car’s data is stored in the plate’s memory chip, allowing detection systems to pick up the information quickly and effectively. As digitally stored information is much harder to clone, they are being increasingly used in government operations such as ANPR (Automatic Number Plate Recognition) in order to make identification faster and more reliable, identify stolen and handicapped cars, reduce uninsured and un-roadworthy vehicles that are costing the government to resolve, make access to driver records and information easier and enhance general security.
Smart Traffic Light Transportation System are one of the more familiar types of intersection control. Using either a fixed or adaptive schedule, this system allow certain parts of the intersection to move while forcing other parts to wait, delivering instructions to drivers through a set of colorful lights. Some purposes of this system are to improve overall safety, decrease average travel time through an intersection, and equalize the quality of services for all or most traffic streams. This system also provide orderly movement of intersection traffic, have the ability to be flexible for changes in traffic flow, and can assign priority treatment to certain movements or vehicles, such as emergency services vehicle.
Smart Intelligent Vehicle Tracking System combines the use of automatic vehicle location in individual vehicles with software that collects these fleet data for a comprehensive picture of vehicle locations. Modern vehicle tracking systems commonly use GPS or GLONASS technology for locating the vehicle, but other types of automatic vehicle location technology can also be used. Vehicle information can be viewed on electronic maps via the Internet or specialized software. Urban public transit authorities are an increasingly common user of vehicle tracking systems, particularly in large cities.
Automated Herb Plant Species Recognition and Early Plant Disease Detection System aimed to realize the computerized method to recognize the species and detect early disease of the herbs by referring to shape, odour, and texture. This project has been developed for recognizing the species and detecting the early disease of the herbs using computer vision and electronic nose, which focus on odour, shape, colour and texture extraction of herb leaves, together with a hybrid intelligent system that is involved Artificial Intelligent (AI) system. These techniques were used to perform a convenient and effective herb species recognition and early disease detection on every different herb species.
Smart Intelligent Automation System is a concept that describes a holistic digital transformation approach, focused primarily on process management to orchestrate users, projects, systems and robots at any time depending on business needs. On the other hand, it also contemplates the use of analytics and AI (especially Machine learning) to make automated and intelligent decisions, and case management to provide processes with enough flexibility for end-to-end case management success. Eventually, it is worth noting that the integration between the various systems used in the business is another main aspect of this trend. Integration would prevent data from being duplicated in the applications, and users will only have to operate on one platform.