Smart City
Automated traffic control system
EM002 »
The aim of the project is to solve the problems of traffic jams on the city roads. In addition, this should solve the environmental situation in the city: excessive emissions of CO into the atmosphere.
Smart City
SMART TRAFFIC MONITORING SYSTEM
EM009 »
Our project is a smart system to track traffic in city streets to track traffic densities, and it can also detect driving violations.
Smart City
Turkey: Smart Garbage Containers to Reduce Fuel Consumption Caused by The Frequency of Solid Waste Collection
EM018 »
The aim of this project is to reduce fuel consumption in the waste collection process, with smart garbage containers. Smart garbage containers will send the waste bin fill-level information to the cloud, and the garbage collection vehicles will reschedule and optimize the waste collection route. In this way, garbage collection vehicles will not enter the areas where unfilled containers are located, so unnecessary fuel consumption will be prevented. Smart garbage container also detects the temperature and gas emissions that are above normal by its sensors and send a warning so that threatening garbage can explosions can be detected and prevented in advance. The fill-level of the smart garbage containers is detected by the distance sensors in the garbage container. The sensor measures the distance between the cover and the wastes. When the measured distance falls below a certain level, it sends the information to the cloud that it is full. Volatile Organic Compound Gas detector will be used to measure methane gas emission, and a thermocouple system will be used to measure temperature.
Smart City
Agrocision ( Agriculture and precision)
EM026 »
PROBLEM
Farmers are receiving less yields than expected because they are subject to the unpredictable climatic changes which is resulting in Zimbabwe importing food and slowly losing its bread basket status.
SOLUTION
Agrocision offers farm management using information technology to ensure that plants, animals and the soil receive exactly what they need to foster optimum health and productivity through analyzing and reacting to data gathered from inter and intra-field variability of crops.
Target Market
Large Scale and Small-scale Farmers in Zimbabwe.
Industrial Effectiveness
Agrocision will help the government in implementing industry 5.0 in the farming sector as the system uses Internet of Things (IOT) and it will also be effective in paving way for Smart Cities.
Economic Feasibility
Agrocision will be available in two modes, outright purchase and subscription to curter for everyone.
Approximate Budget for one unit: USD $1500
Expected Breakeven: After 20 units
Expected Timeline: 2 Months
Smart City
NDVI device for building building monitoring
EM031 »
We have developed a platform to measure and visualize Normal Difference Vegetation indices using a low cost Camera and a DE2 board. This device was tested on building facades showing building moisture that can be related to the inhabitant health. In a different project we have studied around 17000 buildings in Beirut to build and energy model, the simulation was run on Azure. In this proposal we try to merge the two concepts/techniques.
Smart City
Smart City Lightning (Street lighting)
EM008 »
This project is about building a Smart City Lightning System: Specifically streetlights for this particular project. Operating street lights are very necessary for security and safety in our communities and very costly as well. Sustainability when incorporated would improve efficiencies of the system in relation to its key objectives (security and safety) whilst cutting down cost as well. We focus on improving the efficiencies of streetlights for security and safety of our roads and cities in a smart approach. Explained below are some aspects of this project.
City cameras are almost found everywhere in our cities. The quality of these cameras is useless without proper street lighting. To do this, we include analog light sensors to read the brightness of the environment and allow the street light to give a certain brightness to improve illumination. The duration of day and night are also incorporated as well to deliver the right amount of lighting.
A sound reception device with trained machine learning models for different kinds of sound that depict a car crash, gun shot(s), intense noise (from human or not) indicating a variety of responses from a bad event would be incoporated as well. This concept would be applied, especially in areas where city cameras are around. Should in case a gunshot is heard, within a considerable radius in the surrounding, streetlights would be brightened to allow the city cameras have a better recording of the incident with and see how the shotter moves around when spotted in the city camera: This would be applied to other scenarios as well. In so doing, security agencies are alerted and this system would help them track the armed robbers or unwanted events as well (could be an accident, riot, etc).
All of the streetlights would be connected and inditcated on app with a map. This would help to indicate various conditions or states of the streetlights such as those that are down in real-time and need repairs, amongst others.
With regards to the above, the cost of operating streetlights would be controlled sustainably whilst improving efficiencies of streetlights for security and safety on our roads and cities.
An FPGA is ideal for this case since it is very fast and embraces parallel computing.
Smart City
Package deliverance
EM039 »
This system proposes an update in packages deliverance system, improving how couriers deliver their packages optimising the time to deliver it and the number of packages delivered in a day.
Smart City
Fire Detection and Cryptography with FPGA
EM040 »
In response to forest fires, fires that are not noticed within the first 5 minutes and cannot be intervened in 15-20 minutes spread to large areas and become difficult to control. With the system, it is possible to detect forest fires at the initial stage and to inform the firefighting teams, then to respond to the fire immediately and prevent the progression of the fire. "Early" fire detection is possible by closely monitoring the blind spots in forests and habitats all over the world, where watchtowers cannot follow, and by monitoring critical changes in temperature in these areas. Fires, which cannot be detected early and therefore cannot be intervened immediately, cause the destruction of our forests, which take years or even centuries to grow, and impoverish our world in terms of green space. The system in question has been developed to find solutions to these problems.
Method; In the early warning system, using the mesh network topology, thermal cameras and sensors connected to wireless devices take measurements in the forest area, detecting a possible fire threat and informing the center immediately. By sending regular information to the central monitoring software of the devices, statistical information about the weather conditions of the forest area will also be provided. System; It is the most effective alternative to the existing methods such as human eye tracking, telephone notification, aircraft monitoring and camera monitoring, and the operating costs of the system are reduced thanks to the use of "wireless sensor network" technology in fire fighting.
Considering these, we will realize our project.
Smart City
Smart Driving
EM041 »
A system to reduce the consume of fuel driving in the city.
Smart City
Early warning mesh network
EM047 »
Mesh network with early onset warning capability for use in scenarios such as the detection of wild fire, radioactive particles, toxic gasses, commercial, industrial, and event/temporary settings. The network can detect the desired hazardous condition then relay a warning signal to nearby people hence aiding in preventing the loss of human life.