Best Engineering Project Ideas V

Below you’ll find a list of top 10 Best Engineering Project Ideas which you can submit in your college.

Title 1: Solo IOT devices to capture video and audio evidence

The project intends to develop various IOTs devices to camouflage CCTV system. It may look like a display board for publicity. It will have various IR lights to illuminate and capture in night. It should have the following features: – Display System (for advertisement or name board) – Wi-Fi/ internet connectivity – Multiple systems. maybe connected through blue tooth – Remote Joystick to fine tuning and focusing on target persons or things.

Title 2: Smart Networks for Renewable Integrated Sources for standalone Microgrids

Description of project idea: Conditioning Monitoring (CM) of the electrical system is the process of systematic data collection and evaluation to identify changes in performance or conditioning of the system, or its components, such that remedial action may be planned in a cost-effective manner to maintain reliability. It is the process of continuous monitoring of their electrical parameters in order to identify a significant change which is indicative of a developing fault. Different micro-grids groups have been developing their own remote maintenance and diagnostic units on the engineering system of their choice. The appropriate low cost generic tools, providing safe solution are required, to address the challenge for robust and reliable microgrids.

Title 3: Smart Building Energy Management System using Machine Learning

Description of  project idea : Develop a machine learning model, method, architecture or appliance to reduce building energy use and emissions – A smart sensor for industrial buildings. An experienced operator can do a good job of adjusting set points and schedule. But no matter how good they are, a human’s ability is limited by the amount of data he or she can process. Significant opportunities exist to take advantage of external data sources including real-time occupancy sensor networks, changing space schedules, weather forecasts, grid carbon intensity, and other environmental conditions that could help us better predict space set-points and schedules 24×7. Machine learning means each forecasting instance could be improved upon, as the system would have the ability to measure the results each time it forecasts space energy demands and re-adjust predicted set points and schedules accordingly.

Title 4: Network connectivity in remote areas

Network connectivity in remote areas – The women beneficiaries (i.e. women micro-entrepreneurs) are not able to access various online services offered by banks, opening of account is delayed, access to email and information of various Government policies / incentives is limited. Solution should also work with 2G mobile network.

Title 5: Identification of Geo location using Smartphone in absence of internet and mobile network.

The smart phone will store geo location in remote areas where no access to internet and mobile network is available and the location data with attributes will synced to the server through SMS gateway or internet on availability of the same.

Title 6: Calls made to a particular number from a basic phone needs to be tracked accessing the location based information provided by the service provider on the fly and plot the location on map using Google services.

We are looking for solution when calls made to a particular number from a basic phone needs to be tracked accessing the location based information provided by the service provider on the fly and plot the location on map using Google services.

Title 7: Quick analysis of quality of cereals, oilseeds and pulses using AI

This will enable the farmer to get better price for better quality. Presently, all produce is treated as having the same composition.

Title 8: IoT based Smart Bottle for Healthcare

The idea of this project came so to reduce the headache of patient to visit to doctor every time he need to check his blood pressure, heart beat rate, temperature etc. With the help of this proposal the time of both patients and doctors are saved and doctors can also help in emergency scenario as much as possible. The proposed outcome of the project is to give proper and efficient medical services to patients by connecting and collecting data information through health status monitors which would include patient’s heart rate, blood pressure and ECG and sends an emergency alert to patient’s doctor with his current status and full medical information.

Title 9: Smart Landslide Activity Monitoring with The Help Of Unmanned Aerial Vehicle

Fire incident is a disaster that can potentially cause the loss of life, property damage and permanent disability to the affected victim. They can also suffer from prolonged psychological and trauma. Fire fighters are primarily tasked to handle fire incidents, but they are often exposed to higher risks when extinguishing fire, especially in hazardous environments such as in nuclear power plant, petroleum refineries and gas tanks. They are also faced with other difficulties, particularly if fire occurs in narrow and restricted places, as it is necessary to explore the ruins of buildings and obstacles to extinguish the fire and save the victim. With high barriers and risks in fire extinguishment operations, technological innovations can be utilized to assist firefighting. Therefore, this paper presents the development of a firefighting robot dubbed QRob that can extinguish fire without the need for fire fighters to be exposed to unnecessary danger. QRob is designed to be compact in size than other conventional fire-fighting robot in order to ease small location entry for deeper reach of extinguishing fire in narrow space. QRob is also equipped with an ultrasonic. sensor to avoid it from hitting any obstacle and surrounding objects, while a flame sensor is attached for fire detection. This resulted in QRob demonstrating capabilities of identifying fire locations automatically and ability to extinguish fire remotely at particular distance. QRob is programmed to find the fire location and stop at maximum distance of 40 cm from the fire. A human operator can monitor the robot by using camera which connects to a smartphone or remote devices.

Title 10: Smart Building Energy Management System using Machine Learning

Develop a machine learning model, method, architecture or appliance to reduce building energy use and emissions – A smart sensor for industrial buildings. An experienced operator can do a good job of adjusting set points and schedule. But no matter how good they are, a human’s ability is limited by the amount of data he or she can process. Significant opportunities exist to take advantage of external data sources including real-time occupancy sensor networks, changing space schedules, weather forecasts, grid carbon intensity, and other environmental conditions that could help us better predict space set-points and schedules 24×7. Machine learning means each forecasting instance could be improved upon, as the system would have the ability to measure the results each time it forecasts space energy demands and re-adjust predicted set points and schedules accordingly.

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