You will get Real-Time 3D Facial Recognition and Identity Verification System
Project details
This project develops an AI-driven 3D facial recognition system designed to detect faces, extract detailed facial landmarks, and generate embeddings for accurate identity verification. The system captures real-time video from a webcam, converts facial landmarks into a basic 3D representation, and compares it with stored facial data to recognize individuals. Built using Python along with computer vision tools like OpenCV and MediaPipe, the project demonstrates how AI can be applied to biometric authentication. It follows a modular architecture, making it easy to improve with advanced deep learning models, larger datasets, improved accuracy, and scalable deployment for real-world applications.
Machine Learning Tools
Python, Python Scikit-LearnWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 5 days
- Number of Revisions 2
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Fast 4 Days Delivery
+$100About Darshan
Embedded system/IoT engineer
Bengaluru, India - 11:17 pm local time
a robust skill set in Embedded C, C++, and Python. My work spans a wide array of
micro-controllers and processors, including Atmel AVR, PIC, STM, Cypress, Raspberry
Pi, Beaglebone Black, ESP32, ESP8266 (Node-MCU), NRF Series, NXP, and TI. I am
proficient with multiple IDEs, such as Arduino IDE, PlatformIO, ESP-IDF, MPLAB,
MATLAB, Keil, PSoC Creator, and Code Composer Studio.
My expertise includes handling various communication protocols like I2C, UART, SPI,
MQTT, SOCKET, UDP, TCP-IP, WiFi-Mesh, BLE-Mesh, and HTTP. I have substantial
experience with wireless technologies including LoRa, Zigbee, WiFi, BLE (Beacon), and
Bluetooth. Additionally, I am skilled in PCB design using tools like Altium Designer.
I also have experience with real-time operating systems (RTOS), such as FreeRTOS
and TI-RTOS. My enthusiasm for IoT and Machine Learning drives me to
integrate advanced technologies and develop innovative solutions, enhancing system
capabilities and performance across various projects.
Steps for completing your project
After purchasing the project, send requirements so Darshan can start the project.
Delivery time starts when Darshan receives requirements from you.
Darshan works on your project following the steps below.
Revisions may occur after the delivery date.
AI-Driven 3D Facial Recognition System
An AI-based 3D facial recognition system that detects faces, extracts 3D landmarks, and verifies identity in real time, built with Python using tools like OpenCV and MediaPipe.