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Shanghai Sunland Industrial Co., Ltd is the top manufacturer of Personal Protect Equipment in China, with 20 years’experience. We are the Chinese government appointed manufacturer for government power,personal protection equipment , medical instruments,construction industry, etc. All the products get the CE, ANSI and related Industry Certificates. All our safety helmets use the top-quality raw material without any recycling material.

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We provide exclusive customization of the products logo, using advanced printing technology and technology, not suitable for fading, solid and firm, scratch-proof and anti-smashing, and suitable for various scenes such as construction, mining, warehouse, inspection, etc. Our goal is to satisfy your needs. Demand, do your best.

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Professional team work and production line which can make nice quality in short time.

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We abide by the privacy policy and human rights, follow the business order, do our utmost to provide you with a fair and secure trading environment, and look forward to your customers coming to cooperate with us, openly mind and trade with customers, promote common development, and work together for a win-win situation..

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The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems

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Safety belt safety rope safety helmet certificate
How to Recognize Optical Characters in Images in Python ...
How to Recognize Optical Characters in Images in Python ...

W e gonna use pytesseract module for ,Python, which is a wrapper for Tesseract-OCR engine, so we can access it via ,Python,. The most recent stable version of tesseract is 4 which uses a new recurrent neural network (LSTM) based OCR engine which is focused on line ,recognition,. RELATED: How to Convert Speech To Text in ,Python,.

ImageAI 2.0.3
ImageAI 2.0.3

ImageAI is an easy to use Computer Vision ,Python, library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find below features supported, links to official ...

How to access cameras using OpenCV with Python | Camera blog
How to access cameras using OpenCV with Python | Camera blog

2/5/2019, · We’ll see step by step procedure on how to access the See3CAM_130 ,camera, from a simple OpenCV-,Python, application, which will grab the frame from ,camera, and display in the preview window. Let us start from building the OpenCV and its dependencies in Ubuntu PC. Test System: Host PC: Ubuntu-14.04 OpenCV Version: 3.4.1 ,Python, Version: 2.7

How to real-time character recognition with python and camera?
How to real-time character recognition with python and camera?

I'm making kivy app to recognize character with ,camera, on real-time. However, there is no document except recognizing face. I think there is a way because picamera is almost doing similar thing (creating opencv file from ,camera,).

Helmet Detection Python
Helmet Detection Python

How to build a simple ,python, server (using flask) to serve it with TF; Note: if you want to see the kind of graph I save/load/freeze, you can here. 18 using motion pose geometric descriptor to construct an accumulated histogram-based representation of human activity. of ,helmet, use is considered as a critical step in this study, as ,helmet, detection is the main objective of the proposed system.

How to real-time character recognition with python and camera?
How to real-time character recognition with python and camera?

I'm making kivy app to recognize character with ,camera, on real-time. However, there is no document except recognizing face. I think there is a way because picamera is almost doing similar thing (creating opencv file from ,camera,).

PyTesseract: Simple Python Optical Character Recognition
PyTesseract: Simple Python Optical Character Recognition

Introduction Humans can understand the contents of an image simply by looking. We perceive the text on the image as text and can read it. Computers don't work the same way. They need something more concrete, organized in a way they can understand. This is where Optical Character ,Recognition, (OCR) kicks in. Whether it's ,recognition, of car plates from a ,camera,, or hand-written documents that ...

web cam in a webpage using flask and python - Stack Overflow
web cam in a webpage using flask and python - Stack Overflow

I have created a face ,recognition, model using keras and tensorflow, and now I am trying to convert it as a web application using flask and ,python,.My requirement is that, I need a live webcam displayed on the webpage and by clicking on a button it should take the picture and save it to a specified directory, and using that picture the application should recognize the person. if the person is ...

Face Detection in Python Using a Webcam – Real Python
Face Detection in Python Using a Webcam – Real Python

This tutorial is a follow-up to Face ,Recognition, in ,Python,, so make sure you’ve gone through that first post.. As mentioned in the first post, it’s quite easy to move from detecting faces in images to detecting them in video via a webcam - which is exactly what we will detail in this post.

PyTesseract: Simple Python Optical Character Recognition
PyTesseract: Simple Python Optical Character Recognition

Introduction Humans can understand the contents of an image simply by looking. We perceive the text on the image as text and can read it. Computers don't work the same way. They need something more concrete, organized in a way they can understand. This is where Optical Character ,Recognition, (OCR) kicks in. Whether it's ,recognition, of car plates from a ,camera,, or hand-written documents that ...

Helmet Detection on Construction Sites - Python Awesome
Helmet Detection on Construction Sites - Python Awesome

Machine Learning 873 Command-line Tools 87 Natural Language Processing 84 Images 83 Data Visualization 72 Framework 61 Deep Learning 42 Miscellaneous 39 Games 32 Web Crawling & Web Scraping 28 DevOps Tools 24 Security 20 Network 19 Data Analysis 18 Audio 18 Video 17 Tool 17 CMS 16 Date and Time 10 Testing 10 Database 9 Admin Panels 8 Face ,recognition, 8 HTTP 8 …

Real-time face liveness detection with Python Keras and ...
Real-time face liveness detection with Python Keras and ...

Real-time face liveness detection with ,Python,, ... Most facial ,recognition, algorithms you find on the internet and research papers suffer from photo attacks. These methods work really well at detecting and recognizing faces on images, videos and video streams from webcam.

helmet-detection · GitHub Topics · GitHub
helmet-detection · GitHub Topics · GitHub

19/3/2020, · An AI based ,helmet, detection , which can detect the ,helmets, from the images with 99% accuracy . It is implemented using Opencv, ,Python,, YOLOV3 . ,python, opencv detection ,python,-script object-detection opencv-,python, yolov3 ,helmet,-detection

Person detection in video streams using Python OpenCV and ...
Person detection in video streams using Python OpenCV and ...

python, file.py -v C:\run.mp4. The code will start tagging persons that it identifies in the video. This is a first step in object ,recognition, in ,Python,. You can now use the information on the entities tagged for further analysis. For instance, you can store their properties in a database.

Python Programming Tutorials
Python Programming Tutorials

Welcome to part 5 of the Raspberry Pi tutorial series, in this tutorial and the next few, we'll be introducing some of the sensors that are available. Probably the most popular sensor is the Raspberry Pi ,Camera, module. To connect the ,camera, module, find the ,camera, ribben cable port, behind the ethernet port.

Face Detection in Python Using a Webcam – Real Python
Face Detection in Python Using a Webcam – Real Python

This tutorial is a follow-up to Face ,Recognition, in ,Python,, so make sure you’ve gone through that first post.. As mentioned in the first post, it’s quite easy to move from detecting faces in images to detecting them in video via a webcam - which is exactly what we will detail in this post.