LATEST INNOVATIVE IDEAS FOR ECE PROJECTS - Page 1
Forum section: electronics / projects

author: Sangharsh Sharma
author_rank: Contributor
timestamp: September 18, 2018, 03:06:42 pm
content: Hey guys....I just wanted a few ideas for a yearly project that I'll be working on as a part of my course for engineering. I can't use arduino or microcontrollers yet ..I surfed the internet but couldn't find the desired ones...could you guys help me out by giving me few ideas..I would appreciate it ..

author: Mr. Scram
author_rank: Super Contributor
timestamp: September 18, 2018, 03:11:08 pm
content: Quote from: Sangharsh Sharma on September 18, 2018, 03:06:42 pmPart of engineering is independently finding solutions to problems. Can you indicate what you looked at and why those projects didn't suit you? What else might you try?

author: Jebnor
author_rank: Regular Contributor
timestamp: September 18, 2018, 04:33:03 pm
content: How about an "ultra" low noise voltage reference using jelly-bean parts. Make the project about noise measirment, analysis, temperature stability and compensation, etc.?The project itself isn't as easy as it first sounds. Also crosses into the metrology feild.

author: rspt1908
author_rank: Contributor
timestamp: September 18, 2018, 05:51:03 pm
content: 1. If you want a biomedical engineering related project, you may opt to look for problems the doctors have in the medical industry like sensor development (you deal with developing sensors for detecting or screening certain diseases using analog or digital means.If you will use analog sensors, the problem would lie in how you decipher the output of the sensor and convert it in such a way that a microcontroller could interpert it's reading usually by scaling/amplifying the voltage/current response of the sensor and then performing analog or digital signal conditioning to filter out any noise in the signal. You may search for new materials or new uses for existing transducers for this purpose as well.You may also opt for developing a software system utilizing medical datasets such as x-rays and other images for detection of certain medical conditions such as cancer, scoliosis, etc. Here you may use classical computer vision or (since you are dealing with a 2 dimensional input - images and if you have enough data for learning-based systems), you may use deep learning (CNN's, GAN's) which is currently the fad nowadays.Look at Berkeley, Stanford or UCSF, UC Davis papers.2. If you want a robotics related project, you may go with mobile robotics, multi-link manipulators (robotic arms), and soft robotics.In mobile robotics, your aim would be to develop a robot that can locally determine its position in its using a variety of sensors (commonly used are LiDAR, Stereo-Vision Cameras, Ultrasonic Sensors, GPS, etc.) and control/direct its movement towards given a goal point. Areas of research are mapping (normally using SLAM-RANSAC algorithims), control (classical/model-based approaches using PID, LQR or MPC, an inference/knowledge-based approach such as Fuzzy-Logic, learning-based approaches such as Artificial Neural Networks, ANFIS, or deep learning (RNN, Reinforcement Learning)), obstacle avoidance algorithms (using VFH and its variations, bug algorithm, collision cones, etc.), or computer vision related stuffs (Visual Odometry, SLAM, tracking, avoidance etc). Take a look at UPenn, MIT and Berkeley, ETH Zurich papers/TED talks.In multi-link manipulators/robotic arms, you may create your own or implement an existing trajectory planning algorithm such as RRT. You may also implement a control algorithm similar to those earlier mentioned where in you must design the controller such that given a setpoint/desired position of the end-effector (gripper), you must generate angle set-points as well as acceleration and velocity profiles for each joint for the gripper to reach the desired position ideally with minimal error.In soft robotics, you may look at Harvard/MIT papers. The problem here normally lies in designing the links using the right materials normally using Eco-flex materials, characterizing them to generate a model, choosing the right pump and pressure regulator and then designing a control algorithm to actuate them.3. If you are interested in DSP related stuff, for speech, you may check, speech recognition and gender recognition. For image/video, you may refer to the stuff mentioned earlier. You can also take a look at OCR-character recognition and plate-number recognition problems.4. If you are interested in Power Electronics, you may design your own motor driver circuit or converter (buck, boost, buck-boost). Sorry, this is not my field so I don't have much to share.5. If you are interested in Power Distribution and have access to data from you electrical provider, you may opt for developing an efficient load flow distribution/prediction algorithm using intelligence-based systems such as ANN's, Particle Swarm Optimization, Genetic Algorithms, LOLIMOT, etc. This is also not my field, my apologies.6. For IOT and automation, you may check at monitoring house power consumption, plant health using a variety of sensors through the interwebs. Sorry about the fragmented sentences, I currently lack sleep.If you would like to look for other resources, I suggest taking a look at IEEExplore, Elsevier, Science Direct, Scopus and ACM for publications regarding interesting and current innovations. There are a lot of undergraduate projects there.You may also take a look at stack exchange sites/communities such as Robotics Stack, Arduino Stack, Raspberry Pi Stack, Electrical Engineering Stack, Signal Processing, Artificial Intelligence, Cross Validated and Stack Overflow.I noticed that everyone is currently going with the deep-learning hype train, however, the theory, at least currently, is not fully well-established yet. Though, it's actually a good solution to many problems if you have enough data for training. Otherwise, it would be best to go with classical approaches.I hope this helps. Good luck, take care and God bless.

author: Sangharsh Sharma
author_rank: Contributor
timestamp: September 19, 2018, 04:52:13 am
content: Thank you so much for your help