Treffer 1 - 20 von 600

1

Raspberry Pi based Color and Shape Detection Bot
Pon Pushpa, S. Ewins ; Mariammal, K. ; Kumar, Dharavath Sai ; et al.
2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), 2024 Third International Conference on. :1-6 Mar, 2024

Konferenz
3

Multilingual Braille-to-Text Conversion and Text-to-Speech System using Raspberry Pi
G, Premananthan ; S, Keertheraj V ; S, Rathish ; et al.
2025 7th International Conference on Inventive Material Science and Applications (ICIMA) Inventive Material Science and Applications (ICIMA), 2025 7th International Conference on. :1238-1243 May, 2025

Konferenz
4

Introduction to Single-Board Computers and Raspberry Pi
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :1-30

E-Book
5

Introduction to Python and Digital Image Processing
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :31-50

E-Book
6

Advanced Operations on Images
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :91-112

E-Book
7

Surveillance and image processing with Off-Terrain vehicle
Chavhan, Manikumar ; Vyavhare, Nilesh ; Rampelliwar, Sarang ; et al.
In Materials Today: Proceedings

Fachzeitschrift
8

Basic Operations on Images
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :69-90

E-Book
9

Getting Started
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :51-67

E-Book
10

Video Processing
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :189-221

E-Book
11

Transformations and Measurements
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :129-143

E-Book
12

Introduction to the Scientific Python Ecosystem
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :113-127

E-Book
13

A way of analyse of behavior monitoring for the elderly based on Raspberry PI
Li, X. ; He, J. ; Yuan, Y.
2021 2nd International Conference on E-Commerce and Internet Technology (ECIT) ECIT E-Commerce and Internet Technology (ECIT), 2021 2nd International Conference on. :251-254 Mar, 2021

Konferenz
14

Morphology, Thresholding, and Segmentation
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :169-188

E-Book
15

Filters
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV. :145-167

E-Book
17

Introduction to Python and Digital Image Processing
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : Develop Real-Life Examples with Python, Pillow, and SciPy. :25-39

E-Book
18

Facial Expression Electric Wheelchair Control Instruction Using Image Processing
Sobri, Muhammad Faiz Ahmad ; Hussain, Zakaria ; Yahaya, Saiful Zaimy ; et al.
2022 IEEE 12th International Conference on Control System, Computing and Engineering (ICCSCE) Control System, Computing and Engineering (ICCSCE), 2022 IEEE 12th International Conference on. :168-173 Oct, 2022

Konferenz
19

Developing a deep learning-based system for automated speed limit identification and monitoring using Raspberry Pi.
Banda, Srinivas Raja ; Vadrevu, Simhadri ; Venkata, Vinod Gollapalli ; et al.
AIP Conference Proceedings; 2025, Vol. 3342 Issue 1, p1-8, 8p

DEEP learning RASPBERRY Pi VIDEO surveillance IMAGE sensors TRAFFIC monitoring IMAGE processing
Konferenz
20

Introduction to Single Board Computers and Raspberry Pi
Pajankar, Ashwin ; Pajankar, Ashwin
Raspberry Pi Image Processing Programming : Develop Real-Life Examples with Python, Pillow, and SciPy. :1-24

E-Book

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