Relay Module Connection in Arduino: Code and Wiring Diagram
A relay module using Arduino is an electronically operated switches that can let electricity pass through or not. These modules can be operated by an Arduino to control other modules. …
DS1302 Real Time Clock Module In Arduino
In this article, you will learn how to use a DS1302 real time clock module in Arduino. Real Time Clock modules are used in many devices like computers, televisions, and …
Infrared Remote Control in Arduino: Code and Wiring Diagram
Infrared (IR) remote controls in Arduino are handheld devices that can control other devices using infrared light. IR remote controls need a line of sight to operate. This means someone …
Connecting a Potentiometer to Arduino: Code and Wiring Diagram
In this article, I will show you how to connect a potentiometer to Arduino by controlling an LED. A potentiometer is simply a varying resistor. This means you can amplify …
Temperature Monitoring System Using Arduino
In this article, you will learn how to use a Temperature Monitoring System using Arduino and Python Live Data Plotting. Creating this project will let you do serial communication from …
5V Stepper Motor Arduino Interfacing: Code and Wiring Diagram
In this article, I will show you how to interface a 5 volt Stepper Motor in Arduino. Stepper motors are a kind of DC motor that moves in small steps. …
Arduino Keypad and LCD: Code and Wire Diagram
In this article, I will show you how to interface a keypad to Arduino and output it to a LCD. Keypads on devices are essential mode of input. Without it, …
2-Axis Joystick Interfacing in Arduino: Code and Wiring Diagram
In this article, I will show you how to interface a 2-axis Joystick in Arduino. This is similar to a PlayStation 2 analog joystick. You can use this in controlling …
Arduino Water Level Sensor in Python Live Data Plotting
In this article, you will learn how to use an Arduino Water level sensor and plot the data in Python. Creating this project will let you do serial communication from …
Sound Sensor Module Interfacing in Arduino
In this article, I will show you how to interface a sound sensor module in Arduino. Using this module, you can capture sound as input to control other parts of …
Ultrasonic Sensor in Arduino: Code and Wiring Diagram
In this article, I will show you how to interface an ultrasonic sensor in Arduino with Source Code. This sensor measure distances using sound waves bouncing back to itself. Many …
Temperature Monitoring System Using Arduino Source Code
Today we will be creating a temperature monitoring system using Arduino. This device can monitor the temperature of any environment using a digital humidity and temperature module and display it …
RFID Door Lock Using Arduino Project with Data Logging in Python
RFID Door Lock Using Arduino Project are common security measures for granting access to persons in authority. But without any means of security log, you cannot trace the persons who …
Frequently Asked Questions
Are these deep learning projects free for capstone and thesis use?
Yes. All deep learning projects on this hub are free to download, modify, and submit. No attribution required for academic use. Most are MIT-licensed or include source-code packs with sample datasets and pretrained model weights.
What deep learning frameworks do I need installed?
Most projects use OpenCV (cv2) for video capture and image preprocessing, plus one of: TensorFlow / Keras (Caffe model loading via cv2.dnn, custom CNN training), PyTorch (research-style models, YOLO v5+, transformers), or MediaPipe (Google's optimized face/hand/pose detectors). Install with pip install opencv-python tensorflow keras torch torchvision mediapipe numpy. Python 3.10, 3.11, or 3.12 recommended (avoid 3.13 until all wheels catch up).
Do I need a GPU to run these deep learning projects?
For inference (running a pretrained model on your webcam): no, CPU runs at 15-30 FPS for most computer-vision tasks. For training a custom model on your own dataset: GPU strongly recommended (CPU works but is slow). Free GPU options: Google Colab Free (12-hour sessions, sufficient for most BSIT capstones), Kaggle Notebooks Free (30-hour weekly quota), Paperspace Free tier. No need to buy a $1000+ GPU just for a capstone defense.
Deep learning vs classical machine learning, which should I pick for my capstone?
Pick deep learning when your inputs are unstructured (images, audio, video, text) and you have 10,000+ training samples. Pick classical ML (random forest, SVM, logistic regression) for tabular data, small datasets (under 1,000 rows), or when you need explainable predictions for the panel. Many capstones combine both: deep learning for feature extraction (face embedding via FaceNet) plus classical ML on top (SVM classifier for identity matching).
Why is my OpenCV deep learning model running at 2 FPS?
Three usual causes: (1) Resolution too high, resize frames to 640x480 or 320x240 before inference. (2) Wrong cv2.dnn backend, set net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV) and net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU). (3) Heavy model on weak hardware, swap YOLO v5 for MobileNet-SSD or use Haar cascades for simple face/eye detection. Also close other applications and disable laptop battery-save throttling.
Can I extend a single OpenCV demo into a full BSIT capstone?
Yes, and you should. A standalone webcam demo (face detection alone) is too narrow for capstone scope. Wrap it in a real system: face recognition becomes Real-Time Attendance System with PHP/MySQL dashboard, object detection becomes Smart CCTV Alert System with email notifications, drowsiness detection becomes Driver Monitoring System for fleet vehicles. Add user accounts, database logging, simple admin UI, and write Chapters 1-5 manuscript to satisfy panel requirements.
How often is this deep learning projects list updated?
New deep learning projects are added periodically as we receive student requests and new models become OpenCV-compatible. Last refreshed June 2026 with 19 vision-focused projects covering face recognition, object detection, traffic-sign classification, OCR, and more.