In Courier Service System it is imperative that the delivery of the customer’s parcels be done as fast as possible. The delivery process starts the moment the order is made and involves many steps such as scanning the parcels code, loading the parcels onto the vehicle and sending them to the customer’s destination. It is crucial that the parcels arrive on time at the destination to the satisfaction of the customers.

In order to ensure the fastest delivery of parcels to the customers, it is important to find the fastest route (not necessarily the shortest) with minimum traffic from the point of delivery to customer destination. At the same time, the customers should be informed of the delivery time on a continuous basis or in a suitable time period. Responsive communication between these two parties will definitely improve courier service efficiency and customer satisfaction.

The purpose of the research is to develop a framework with the help of Favoriotplatform together with other Cloud platform and Android Apps that can help in building the platform for more intelligent parcel delivery system by combining the use of the current communication technologies such as GPS, Waze, Andriod tools and other cloud services. It will help the courier service systems to intelligently manage the delivery process and to deliver the parcels at a convenient time to the customers.

[NOTE: This project is being done by UTM, our FAVORIOT’s University’s collaborator]

In Malaysia, small and medium enterprises (SME) have sprung up over the past years that are vying to cultivate stingless bee for honey. Farmers will extract the honey from the combs manually by using a small and long plastic tube hosed into a portable battery powered suction pump. Current harvesting system was performed by collecting the honey from the combs and at irregular intervals in time. This is because the farmers usually do not exactly know the systematic way to estimate the amount of honey produced. In respect of sustainable development, stingless bees are good pollinators for agricultural crops such as starfruit, guava, citrus, mango, watermelon, durian, and coconut. The value of insect pollination service of these crops was estimated in millions.

Availability of plants, flowers characteristics, forager activity time, and environmental factors influence the honey production of stingless bees. Therefore, an intensive study of the impact of climate on the activities of a stingless honey bee in a significant time period that spans at least one season cycle is important for future plan to mediate between the sustainability of honey bee production and the environment. Manual collection of data for chosen factors can be sporadic and produce variations from incorrect measurement taking; this can cause complications in producing any important interpretation. However, the feasibility of online monitoring of beehive based on IoT application, its limitation, and performance are not explored well.

The ubiquity of advanced Wireless Sensor Network and information technologies has been a key enabler networking everyday objects. Collective physical items in a system equipped with “Internet of Things (IoT)” can communicate with each other while integrating the physical world with a computer-based system in a more direct way, and greatly improve resources efficiency in addition to alleviate human intervention. If the information of the environment is being collected on the platform of IoT, there are several advantages: can reduce effort and time required for monitoring a particular environment, the logging of data allows for reduced likelihood of data being misplaced or lost, and sensor nodes could be placed in critical spots without the need to put personnel in perilous situations.

In this project, we focus on understanding the impact of climate on stingless bee activities using IoT applications based on FAVORIOT platform. We also aimed to present the theory to describe the behavior of the stingless bee and combine it with the population size, and the number of honey productions, the theory will enable the estimation of honey production with bee health estimation models. Furthermore, all determined climate parameters, activities rates, population size, and honey productions values will be a set of reference to determine the heath level of the stingless honey bee population.

[NOTE: This project is being done by UTM, our FAVORIOT’s University’s collaborator]

Shoulder (Emergency lane) is used by the emergency vehicles such as ambulances, fire trucks, and police cars when there is heavy traffic jam happened or when there is an emergency. Under Rule53(1) of the Road Traffic Rules 1959, driving in the emergency lane is an offense. Yet, there is still the irresponsible driver who misuse the emergency lane especially when there is traffic congestion. Drivers keep repeating to the offense the rule because they know that police are not always there to watch over them.

Hence a method to detect the vehicles who misuse the emergency lane by using internet of things is proposed. The use of internet of things keep increasing from year to year and it is applicable to many fields such as energy management, environmental monitoring, and home automation.

There have been several projects done previously for real-time traffic monitoring by using Zigbee and Bluetooth for the transmission of the data. But there are some challenges faced by the projects which are the huge power consumption of the sensor node, limited coverage area and the cost of maintenance is high. Hence LoRa technology is used in this project to replace the current wireless transmission module. LoRa is a wireless technology that has been developed to enable low data rate communication to be made over long distance by sensors for the Internet of Things application.

In this project, sensor nodes attached with camera sensor will be placed on the highways, vehicles who misuse the emergency lane will be detected by the ultrasonic sensor and the camera will auto capture the vehicles (including car plate number). The collected data will be sent to the FAVORIOT IoT middleware via a gateway at a station, by using LoRa wireless module for further action such as issues ticket to the driver. The objectives of this project are to real-time monitoring the emergency lane and to reduce the number of drivers who misuse the emergency lane.

[NOTE: This project is being done by UTM, our FAVORIOT’s University’s collaborator]