1.Face Recognition System: Establish an approach that identifies faces, and then checks the information provided with image processing techniques.
2.Speech Signal Analysis: Which are then stored for analysis of features such as pitch and intensity as well as individual phonemes.
3.Object Detection Using Deep Learning: Use the machine learning technique to teach the neural network that it is working with to detect objects on images.
4. Simulink for Electric Vehicles: Models and simulates electrical vehicle behaviour.
5. Digital Image Watermarking: Acquire and remove watermarks as a form of protection for material posted on the Internet.
6. Automatic License Plate Recognition: Recognize license plates of the vehicles.
7. Heart Rate Monitoring System: Measure the privacy using ECG signal analysis of the heart rate of a patient.
8. Cryptography System: Further create a mechanism for encryption and decryption.
9. Renewable Energy Modelling: Did or designed systems for the generation of solar or wind energy.
10. Weather Forecasting Tool: Forecast climate conditions from spread market datasets based on time-line records.
11. Edge Detection: The raw imagery requires the creation of new algorithms aimed at detecting edges in images.
12. Signal Compression: Use even some of the technological advance techniques such as wavelet transform for data compression.
13. Stock Market Prediction: Forecast up or down movements in stock prices with artificial intelligence.
14. Lane Detection for Vehicles: Detecting road lanes in videos.
15. Audio Noise Reduction: Remove noise from audio frequency and sounds.
16. Medical Image Analysis: Interpret MRI or CT scan images.
17. Robotics Path Planning: Teach robots how to move in and around with minimal wastage of time.
18. Fingerprint Recognition System: A biometric authentication should be developed.
19. Data Clustering Warning: Use k-means to cluster datasets.
20. Traffic Flow Simulation: Simulate and simulate traffic systems.
These projects cover the basic to the intermediate level and provide numerous ways to implement the use of MATLAB.
2.Speech Signal Analysis: Which are then stored for analysis of features such as pitch and intensity as well as individual phonemes.
3.Object Detection Using Deep Learning: Use the machine learning technique to teach the neural network that it is working with to detect objects on images.
4. Simulink for Electric Vehicles: Models and simulates electrical vehicle behaviour.
5. Digital Image Watermarking: Acquire and remove watermarks as a form of protection for material posted on the Internet.
6. Automatic License Plate Recognition: Recognize license plates of the vehicles.
7. Heart Rate Monitoring System: Measure the privacy using ECG signal analysis of the heart rate of a patient.
8. Cryptography System: Further create a mechanism for encryption and decryption.
9. Renewable Energy Modelling: Did or designed systems for the generation of solar or wind energy.
10. Weather Forecasting Tool: Forecast climate conditions from spread market datasets based on time-line records.
11. Edge Detection: The raw imagery requires the creation of new algorithms aimed at detecting edges in images.
12. Signal Compression: Use even some of the technological advance techniques such as wavelet transform for data compression.
13. Stock Market Prediction: Forecast up or down movements in stock prices with artificial intelligence.
14. Lane Detection for Vehicles: Detecting road lanes in videos.
15. Audio Noise Reduction: Remove noise from audio frequency and sounds.
16. Medical Image Analysis: Interpret MRI or CT scan images.
17. Robotics Path Planning: Teach robots how to move in and around with minimal wastage of time.
18. Fingerprint Recognition System: A biometric authentication should be developed.
19. Data Clustering Warning: Use k-means to cluster datasets.
20. Traffic Flow Simulation: Simulate and simulate traffic systems.
These projects cover the basic to the intermediate level and provide numerous ways to implement the use of MATLAB.
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