A python program that uses the concept of OCR using machine learning to identify the Automatic License Plate Recognition System for Vietnamese Plates
In this tutorial I'll be taking you through the basics of developing a vehicle license plate recognition system using the concepts of machine learning with Python
As a rule, remote video surveillance requires the assignment of an expensive white IP address to the camera or DVR, or complex configuration using UPnPct and DDNS services. In most cases, when you connect to the Internet, you are only provided with a dynamically changing IP address.
Recently, thanks to new solutions and P2P
("peer to peer
") technology, it is possible to install and configure remote video surveillance independently and very easily.
The server acts only as an intermediary connecting your IP camera and the user's device directly. The video stream is transmitted directly from one of your devices to another to your computer or mobile device.
Using our free program, you can use any ip or usb camera for p2p for a complete video surveillance system with remote access from anywhere in the world with minimal cost.
Download free version of Web Camera Pro
In this video we will show you how to setup peer to peer or P2P using the IP2M 841 ProHD WIFI
In this video we will show you how to setup peer to peer or P2P using the IP2M 841 ProHD WIFI : 3:41 : 28
Traditional video surveillance systems require infrastructures including expensive servers with capabilities to process images and store video recordings. These surveillance systems produce and need to store a huge amount of data and to execute on them specific image analysis in real-time in order to detect safety events. We propose a video surveillance system based on P2P that collects multimedia streams generated by surveillance cameras optimizes their transmissions with Scalable Video Coding (SVC) according to network condition and stores them in a cloud storage system in an efficient and secure way.