Face recognition application based on Raspberry PI

Mã QR

Face recognition application based on Raspberry PI

Đã lưu trong:

Bibliografiske detaljer
Sprog:	vie
Online adgang:	https://dlib.udn.vn/module/chi-tiet-sach?RecordID=8953
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Thư viện lưu trữ:	Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng

Lignende værker

An embedded system for face recognition based on Raspberry Pi and Support Vector Machine

Research, Design of Object Recognition and Tracking Robot Deployed on Raspberry PI Embedded Computer
af: Tran, Viet An
Udgivet: (2024)

Exploring Raspberry Pi :
af: Molloy, Derek
Udgivet: (2016)

Raspberry Pi For Kids /
af: Richard Wentk
Udgivet: (2015)

Advanced Raspberry Pi
af: Gay, Warren
Udgivet: (2020)

Raspberry Pi for kids for dummies
af: Wentk, Richard
Udgivet: (2015)

Raspberry Pi for kids for dummies
af: Wentk, Richard
Udgivet: (2015)

Raspberry Pi for Arduino Users
af: Strickland, James R.
Udgivet: (2020)

Machine Learning with the Raspberry Pi
af: Norris, Donald J.
Udgivet: (2020)

Internet of things with Raspberry Pi and Arduino
af: Singh, Rajesh
Udgivet: (2020)

Learn Raspberry Pi Programming with Python
af: Donat, Wolfram
Udgivet: (2020)

Beginning Robotics with Raspberry Pi and Arduino
af: Cicolani, Jeff
Udgivet: (2020)

Defending IoT Infrastructures with the Raspberry Pi
af: Hosmer, Chet
Udgivet: (2020)

Beginning Artificial Intelligence with the Raspberry Pi
af: Norris, Donald J.
Udgivet: (2020)

Image Processing Application to Detect Driver Drowsiness using Raspberry PI kit
af: Nguyen, Van Chuc
Udgivet: (2024)

Raspberry Pi IoT projects : prototyping experiments for makers
af: Shovic, John C
Udgivet: (2017)

Custom Raspberry Pi Interfaces. 1st ed.
af: Gay, Warren
Udgivet: (2020)

Deploying Raspberry Pi in the Classroom. 1st ed.
af: Hart-Davis, Guy
Udgivet: (2020)

Face recognition : from theory to applications /
Udgivet: (1998)

Face recognition : from theory to applications /
Udgivet: (1998)

An Automated student attendance system based on Face Recognition
af: Mai, Lam, et al.
Udgivet: (2018)

Raspberry Pi Image Processing Programming. 1st ed.
af: Pajankar, Ashwin
Udgivet: (2020)

Raspberry Pi Supercomputing and Scientific Programming. 1st ed.
af: Pajankar, Ashwin
Udgivet: (2020)

Raspberry Pi GPU Audio Video Programming . 1st ed.
af: Newmarch, Jan
Udgivet: (2020)

Building a Student Management and Attendance System Based on Face Recognition
af: Nguyen, Tan Luong
Udgivet: (2023)

Handbook of Face Recognition
Udgivet: (2020)

Face recognition attendance system
af: Tran, Van Quy
Udgivet: (2022)

Phát hiện đối tượng dựa vào học sâu trên Raspberry Pi
af: Lê, Quang Chiến
Udgivet: (2023)

Nghiên cứu về Raspberry Pi và ứng dụng trong hệ thống IoT
af: Nguyễn, Đức An
Udgivet: (2025)

Federated Learning of Random Oblique Stumps Tailored on the Raspberry Pi Zero for the ImageNet Challenge
af: Do, Thanh Nghi, et al.
Udgivet: (2024)

Human Face Recognition and Temperature Measurement Based on Deep Learning for Covid-19 Quarantine Checkpoint
af: Nguyen, Vu Anh Quang, et al.
Udgivet: (2021)

Explore ESP32 MicroPython: Python Coding, Arduino Coding, Raspberry Pi, ESP8266, IoT Projects, Android Application Projects
af: Akira, Shiro
Udgivet: (2023)

Building System Face Recognition Supports Attendance
af: Nguyen, Viet Nam, et al.
Udgivet: (2023)

An effective model for intergrated face detection and recognition
af: Tran, Huy Quang, et al.
Udgivet: (2021)

Student Attendance System using Face Recognition
af: Pham, Anh Tu
Udgivet: (2024)

Xây dựng hệ thống nhận dạng khuôn mặt sử dụng Raspberry Pi 4
af: Bùi, Xuân Vinh, et al.
Udgivet: (2025)

A comparative study on application of multi-task cascaded convolutional network for robust face recognition
af: Nguyen, Oanh, et al.
Udgivet: (2021)

Nhận dạng người dựa trên hình ảnh khớp ngón tay sử dụng Raspberry Pi
af: Trần, Thị Thảo, et al.
Udgivet: (2023)

Building a Facial Recognition System for Roll Call – Timekeeping at VKU Based on Human Face Detection Technique
af: Tran, Van Tien Dat
Udgivet: (2025)

Face recognition with discriminating 3D DCT coefficients /
af: Gunlu, Goksel.