Here is the list of best Embedded Project Ideas for ECE final-year students brought to you by Listyaan. Embedded Project Ideas for B-Tech, M-Tech & Ph.D. students.
Special-purpose computers called embedded systems are incorporated into objects that aren’t often thought of as computers. For instance, embedded systems are found in automobile computers, wireless sensors, medical equipment, wearable fitness equipment, and cell phones.
This program places a strong emphasis on the fundamentals of real-time application hardware and software design and development.
The goal of this essay is to quickly explain the top embedded-based project ideas for the ECE final-year students.
This project majorly focuses on the eradication of the gap or the barrier between the mute community and the people who are not familiar with sign language so that the messages a dump person is trying to convey can be understandable to the person with no knowledge of sign language.
In this project, a normal shelf is modified to include a security mechanism that unlocks using facial recognition technology. C# is used to create a Windows Forms application that can save, check, and unlock trusted faces.
For facial verification, it uses the FacePlusPlus API, and to connect to the Bolt WiFi Module and Arduino, it uses the Bolt IoT Cloud API. The finished interface between a Bolt WiFi Module and an Arduino Uno will operate a servo motor to lock and unlock the door.
This project aims to facilitate the movement of older persons who are unable to move well and disabled or handicapped people. To create a program that can detect speech, control chair movement, and handle or manage graphical commands, interfaces have been built into this project.
In this project, a wheelchair is moved by a microcontroller circuit and DC motors from an Arduino kit, while obstacles in the path of travel are detected using ultrasonic sensors.
This project’s primary goal is to offer those who are deaf or dumb an easy way to interact with others. The goal is to create a system that uses voice alert and IR technology to announce the name of the item the user requests, guiding the elderly, the deaf, and the stupid.
This project outlines the development of a portable, low-cost heart rate monitoring device based on Bluetooth technology. The Bluetooth module, Android application, and Heart Rate module are only a few of the components that make up the overall system.
The Heart Rate (HR) module collects heart rate data from subjects (patients) using a non-invasive method called Photoplethysmography and transmits it wirelessly to a computer or an Android application using a Bluetooth module. This system can be used in conjunction with other telemedicine components.
In this study, a design for a non-invasive, cost-effective glucose monitoring device that uses near-infrared spectroscopy methods is given. Furthermore, the GSM module attached to this gadget will facilitate wireless data sharing.
As a result, the results can be quickly forwarded to the specialist for review. The collected results can be kept for future reference, as well as to analyze changes in blood glucose levels and modify medication dosage.
This project uses angular data and BPM data to show how to implement new data attributes based on existing HAR systems.
It then compares the performance of acceleration data-based HAR and the angular data-based HAR systems and compares various neural network structures to analyze and provide the best machine learning technique to train the system.
It was simple to instruct the system to split out the necessary output command and act accordingly thanks to flex sensors. The computer system receives the commands via the Bluetooth module, and the intended result is displayed on the LCD panel.
A wireless sensor network (WSN) is made up of sensors that are widely spaced out and used to track environmental or physical variables like pressure, sound, and temperature. The wireless personal area network’s brain, the network coordinator, receives the sensor data.
In the current context, wireless networks incorporate both actuators and sensors. A recently created technology called ZigBee that adheres to IEEE standard 802.15.4 can be utilized in wireless sensor networks (WSN).
The key characteristics of ZigBee are its low data speeds, low power consumption, and low cost. The ZigBee coordinator (also known as the network coordinator), ZigBee router, and ZigBee end device make up WSN.
In this project, a mixed signal array chip on a programmable system on chip (PSoC) will be used to construct a prototype of such a system.
The fundamental idea behind this system is to read biomedical signals from biomedical sensor modules, convert the data, and communicate the information to a central node via a wireless module. Additionally, the technology has the capability of straightforward preprocessing such as waveform averaging or rectification.
This paper describes heart rate measurement using a PIC microcontroller. The heartbeat is tracked by an infrared sensor, and its value is shown on the LCD that is linked to the microcontroller.
It is made up of an amplifying component that uses a sensor to amplify the heart rate monitoring device’s output signal and a microcontroller, the pic16F877a, that displays the outcome on an LCD (16X2) alphanumeric display.
The Proteus design suite’s simulation is used to perform a preliminary test on the circuit. Utilizing MikroC, microcontroller programming is described and carried out. Families, medical facilities, clinics, and athletic facilities can all use this measurement circuit with ease.
An example of a clinical information system is a patient record system, which is tasked with gathering, preserving, modifying, and making accessible clinical data vital to the provision of patient care. Clinical data, not financial or billing data, is the main focus of such systems.
Such systems may be extensive and include almost every aspect of clinical information relevant to patient care, or they may be restricted in their coverage to a single area of clinical information (such as laboratory data) (e.g., computer-based patient record systems).
The vision is to create a BMI calculator, which is crucial in warning of the risk of diseases brought on by being overweight. The suggested solution not only displays the estimated amount on an LCD screen but also sounds an alarm if the weights are too high or too low.
Along with a wired web interface, this system uses a ZigBee interface for wireless transmission and a GSM interface for mobile-based remote monitoring.
It has been noted that wired interfaces offer communication reliability, wireless interfaces offer patient mobility flexibility, and cellular interfaces offer emergency response options.
This study compares the quadriceps femoris muscles’ power output and fatigue characteristics in response to spatially distributed sequential stimulation (SDSS) versus conventional single electrode stimulation (SES) in four motor-complete spinal cord injured untrained participants during a dynamic leg extension task simulating knee joint movement in reclined cycling.
The system enables audio alerts and remote door accessibility via smartphone, and also sends an email alert when a visitor’s image is caught at the door. The use of smart home security control systems is becoming essential.
This system makes use of a cheap and power-efficient controller interface system with a Raspberry Pi. When a guest moves toward the door, a camera module connected to a Raspberry Pi takes a picture, saves it, and then sends an email alert using TCP/IP.
Through a smartphone, the responsible authority can manage the system and watch the camera module’s video stream.
The majority of current hand prostheses are powered by electromyography (EMG) signals, but investigations have shown that multichannel EMG signal controls are unsuitable since they lead to early tiredness issues and demand a lot of effort to carry out even basic tasks.
Three DC motors and gears are used in the prosthetic hand to transmit motion to the connecting portions of the fingers. To modify the grip force at the fingers, the prosthetic hand’s flexible thin-film resistive force sensors are used.
In the second section, a prosthetic hand is controlled via speech recognition. An HM2007 speech recognition IC and a PIC microcontroller powered the DC motors that moved the fingers in the control circuit that we created.
The communication between transceivers is established in large part by the microcontroller, which serves as the project’s brain. Data is sent to the appropriate Zigbee transceiver by the microcontroller via communication with the Zigbee transceiver.
This project is divided into two sections: the main portion and the section for handheld devices. Zigbee transceivers are used in both parts. The menu from the first part should be copied and saved in EEPROM in that area. Zigbee wireless communication is used to transmit the data to the main section.
The information from the first portion will be received by the main section, which then saves it in EEPROM. Service is rendered by the sequence that is saved in the EEPROM. The data is shown on LCD in this case.
The Tongue Drive System (TDS) is a wearable, non-invasive assistive device that enables persons with severe impairments to navigate their surroundings by moving their tongues. By sensing a tiny permanent magnetic tracer on the users’ tongues, TDS converts particular tongue motions into instructions.
With a modified wireless module that was fitted to the iPhone, connecting the TDS to a smartphone (iPhone/iPod Touch) gets easier. The TDS sensor signal processing technique and graphical user interface were also transferred and real-time operated on the iPhone.
Four healthy volunteers were used to test the TDS-iPhone interface for dialing 10-digit phone numbers using the normal telephone keypad and three different means of prompting the digits: visual, auditory, and cognitive.
The major goal of this program is to provide blind persons the ability to walk confidently and to be aware of whether their path is blocked by other objects, people, or related circumstances. A buzzer serving as a warning signal and whose beeping frequency varies with goal distance is included in the circuit.
The frequency of the beep buzzer increases with the size of the obstacle gap. The ultrasonic sensor sends out a high-frequency sound pulse and then monitors the time interval to get the sound echo signal to reflect.
The sensor has two circles inside of it. One of these acts as the transmitter and sends out the ultrasonic vibrations. The other acts as a receiver for the other, gathering the repeating sound signal (mostly a small microphone).
A hand gesture-controlled wheelchair (EWC) is proposed with a new control method. Many individuals who are unable to operate a normal joystick wheelchair can use this smart control gadget.
A wheelchair-mounted camera is used by the motion control system. A visual recognition algorithm and artificial intelligence software are utilized to identify the patient’s hand motions, and the resulting related signals are then used to control the EWC in real time.
One of the key aspects of this control method is that it gives the user the ability to steer the wheelchair at a varied pace, much like a conventional joystick. The “hand gesture-controlled wheelchair” is a low-cost design that has been successfully tested on actual patients.
The suggested system would provide a centralized computer program that would use sensors to find moving things in a given space. The technology will primarily be built to identify human intrusions.
The goal is to develop and put into use a wireless sensor network-based item tracking system. The program can monitor and identify moving objects, and it can send information to a central base station about the intruder’s direction and speed.
The passive infrared (PIR) sensor is used to find the human intruder. A MICAz sensor node is attached to the sensor. The PIR sensor can identify people and offer details about the movement’s direction. The base station will process the data from the sensor network that has been collected.
Biometric The electronic voting system verifies voters using fingerprint scanners. The concept incorporates a fingerprint voting mechanism, eliminating the requirement for the user to carry an ID that provides the necessary information.
The information on the tag is read by this fingerprint reader. The controlling unit receives this data for verification. The controller retrieves the data from the reader and compares it to the data that was previously recorded during voter registration.
The individual is permitted to vote if the data matches the registered fingerprint’s previously recorded information. If not, an LCD warning notice appears and the user is prevented from casting a vote.
The concept of employing silicon computers and their engineering principles as a model for the design of a comparable machine built of biological components is based on systems, a paradigm shift in scientific thought having applications in systems biology and synthetic biology.
Here, we discuss these fundamental components and how they might be put together to form a biological microprocessor, a general-purpose computer system. An input/output device, an arithmetic logic unit, a control unit, memory, and wires (buses) to link these components make up such a system.
A biological system may be monitored and managed by a bio-computer.
Due to advancements in low-power and low-cost wireless technologies, wireless sensor networks (WSNs) are becoming a more common technology. WSNs have a wide range of uses, including environmental monitoring, personal healthcare, and military applications.
For communication between sensors, Bluetooth, ZigBee, HomeRF, IrDA, and other many wireless technologies may be employed. Different network topologies, including star, mesh, and hybrid star-mesh networks, are supported by WSN architecture.
This study uses Bluetooth-based WSN to develop a heart rate monitoring system. Data from the patient’s pulse oximeters (SPO2) is sent wirelessly from Arduino to the personal computer (PC) using the HC-05 Bluetooth module, where it is also analyzed.
The emergence of appliances and gadgets that use remote controls is now commonplace within the realm of wireless technology. It increases efficiency while decreasing human affords. Automation is necessary for every industry, from homes to businesses.
Automation systems work by enabling several devices to connect with a central controller, which then relays all information to the user or system owner through the setup’s instructions and organizational structure.
To assess the output’s reliability and efficiency, we may automate appliances using a variety of wireless communication technologies, including infrared, Bluetooth, radio frequency, RFID, GSM, DTMF, GUI-MATLAB, and microcontroller-89c51. Programming the CPU-89S52 in Embedded C, the industrial equipment is automated.
It displays an electronic navigation system for blind and visually challenged users (subject). Using a network of ultrasonic sensors, this device can detect impediments up to 500 cm to the front, left, and right of the subject.
It accurately determines the separation between the detected item and the subject and plans the navigation route while avoiding obstacles. To inform the subject about the detected obstruction and its location, voice feedback is used.
The suggested system processes real-time data gathered from an ultrasonic sensor network using an embedded system based on the AT89S52 microprocessor. APR9600 flash memory is used to call up the appropriate pre-recorded spoken message based on the direction and distance of the identified obstacle.
The individual receives these spoken messages using earphones.
A typical laptop webcam is used in the design and development of a low-cost hand gesture detection computer interface. The system’s goal is to recognize user hand motions in real-time, both static and dynamic, and execute simple Windows operating system macro commands.
There includes a discussion of the calibration and gesture recognition procedures. With higher than 95% accuracy, the system can categorize 19 static hand gestures and identify 6 dynamic hand motions. However, the system’s ineffective operating system interface results in a variable delay of 50–500 milliseconds.
Based on the input data from MEMS 3-axes accelerometers, it provides three distinct gesture recognition models that can recognize seven hand motions, including up, down, left, right, tick, circle, and cross.
Three accelerometers each measure the accelerations of a hand moving in three perpendicular directions, and they send the information to a PC via the Bluetooth wireless protocol. To recognize certain motions in a series, an automated gesture segmentation algorithm has been created.
A fundamental feature based on the sign sequence of gesture acceleration is extracted to compress data and reduce the impact of variances caused by gestures made by various users.
This system is made up of traffic congestion, which has made the ambulance extremely unpleasant and was recognized as a serious concern in contemporary metropolitan settings. The Automatic Ambulance Rescue System (AARS) is put into use.
The major goal of this plan is to create a smooth flow so that the ambulance can get to the hospitals on time and mechanically regulate the traffic signals in its path.
The ambulance is managed by the central unit, which provides the safest route for it and also manages the traffic light by its position, enabling it to arrive at the hospital without incident.
Through the sensor systems in the car that was involved in the collision, we can locate the accident site by SMS, and the server then travels there via ambulance. This automated system locates the accident scene, manages the traffic signals, and aids in timely arrival at the hospital.
Some patients request electric wheelchairs, which are frequently controlled by joysticks; however, the joystick manipulation is often not practical and it must be handled with the mouth.
This is because they are unable to control the wheelchair with their arms due to a lack of push or psychomotor issues in the superior members. This project displays the preliminary findings in the creation of a wheelchair with an intuitive interface that accepts hand gestures as directions.
The improvements are shown in the implementation of the control software utilizing a webcam and a few proximity and presence sensors controlled by a PIC microcontroller that connects to a Labview application.
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