On-Street Automatic License Plate Recognition pillar (wired version)

1. Product Introduction

1.1 Overview
New Brain Technology is committed to providing customers with independently developed software and hardware products related to intelligent vehicle recognition, dynamic facial recognition, and multi scenario solutions. Based on profound technological accumulation, excellent quality and service, the products of New Brain Technology have been widely applied in fields such as intelligent transportation, intelligent security, smart cities, etc. at home and abroad, making the travel of vehicles and people in various scenarios safer, more convenient, and more efficient.
The 4 million video stake camera is an integrated device used in the on road parking system to detect the presence of vehicles in parking spaces and recognize license plate photography. It can independently complete license plate recognition. The video stake camera has a built-in high brightness fill light, which can provide sufficient fill light at night. It also has a built-in speaker, which can prompt users to pay after the vehicle stops. It has a built-in parking status indicator light, supporting 7 colors including red, green, and yellow, and can customize the display color of different parking space statuses. Additionally, it supports hand in hand dual port networking to reduce construction difficulty.

1.2 Main Features

1.2.1. 4 million high-definition imaging effects
The video pile camera movement is equipped with the industry’s advanced 4 million star level imaging solution, supporting video and image output with a maximum resolution of 2560 * 1440. In an environment with the same imaging effect, the clarity of a video pile camera is improved by more than 80% compared to a regular 2 million camera. The intelligent deep learning anti-counterfeiting ISP (Image Signal Processing) algorithm developed by New Brain Technology can not only meet the full scene recognition needs of customer license plate recognition, but also provide more vehicle details, which helps to improve the recognition rate of the algorithm.

1.2.2 progressiveness of license plate/vehicle recognition algorithm
The movement of the video pile camera is equipped with a self-developed intelligent deep learning algorithm by New Brain Technology – using cutting-edge AI deep learning technology in the industry. Through learning from massive data, it has successfully created a strong algorithm framework in the field of license plate/vehicle recognition. By deeply optimizing with a series of hardware, it can effectively meet the needs of all intelligent transportation business scenarios.
Typical license plate recognition rate of 99.9%: supports the recognition of various license plates such as ordinary blue license plates, new energy license plates, single and double yellow license plates (including mud headed vehicles), single and double military/police license plates, embassy and consulate, Hong Kong and Macao entry and exit mainland license plates, emergency license plates, etc. The mainstream license plate recognition rate in typical scenarios is as high as 99.9%.
Deep learning anti-counterfeiting and filtering fake license plates: By using self-developed deep convolutional neural network algorithms and learning from massive data of tens of millions, global and local features in images can be effectively extracted, accurately identifying the authenticity of license plates.
Large angle recognition: Supports recognition of license plates and cameras at a maximum angle of 45 degrees, making the camera more adaptable to the environment.

1.2.3. Stable and reliable performance, rich and diverse interfaces
Video pile cameras offer two product forms: movement and module, with a high IP protection level design to ensure long-term stable and reliable operation in typical scenarios.
The entire machine supports a maximum of 2 inputs, 2 outputs, and 2 RS485, with an interface surge protection level of 2KV. (Exceeding national standard level 4). Can meet the daily connection needs of ground sensing coils in the scene LED display screens and many other equipment requirements;
Support TF card data storage, no loss of data when disconnected from the network, and real-time storage of system logs.

1.2.4. Comprehensive development and docking support
SDK development package: provides Windows SDK development kit for Linux and Android environments, supporting VB Development languages such as C #, Delphi, and C++;
API protocol interface: supports TCP based API interfaces for standard protocols such as HTTP and MQTT, meeting the integration of cameras and platform systems;

1.3 Application Scenarios
This product has richer functions and interfaces, providing users with diverse choices to meet the different needs of various application scenarios. This product is used in the on road parking system as an integrated device to detect the presence of vehicles in parking spaces and recognize license plate photos. It prompts users to pay after the vehicle has stopped.

2. Product specifications

2.1 Functional Specifications
Functional specification table:

category	project	explain
Intelligent recognition	License plate recognition rate	≥99%
	Identifying license plate types	Domestic standard licenses include blue license, black license, new energy, police license, new single-layer armed police, new double-layer armed police, single-layer military license, double-layer military license, single-layer yellow license, double-layer yellow license, trailer, Hong Kong license, Macau license, embassy, consulate, coach license, civil aviation license, theater license, emergency license, etc
imaging	Basic configuration	Embedded intelligent ISP algorithm
		Intelligent optimization of dimming algorithm, intelligent adaptation to complex scenes
		Basic parameters (brightness/clarity/gain/exposure time, etc.) can be set separately
video	Video compression standards	H.264/MJPEG;
	Video resolution	352 * 288, 704 * 576, 1280 * 720, 1920 * 1080, 2560 * 1440
	Compressed output bit rate	384Kbps~4Mbps
	Frame rate	1-25 frames, default to 25 frames
communication	Communication protocol	SDK、ONVIF、HTTP、MQTT、RTSP、TCP/IP、UDP、RS485、IO、NTP
	HTTP push	Yes, supports uploading recognition results and offline retransmission
Administration	Management Agreement	PC mobile management PC management tools SDK development package HTTP push
	Cloud management	Remote management of a single camera, centralized management of multiple cameras through accounts, support for cloud SDK development and management platform
	Remote configuration	Support remote client control function for parameter configuration, video preview, and remote upgrade
	journal	Support management platform to remotely obtain logs

2.2 Hardware Information

Basic hardware specification table:

category	Indicator items	specifications
imaging	sensor	4 million pixel star level CMOS
	resolving power	2560 (H) x1440 (V)
	Low illumination	0.1LUX color (fill in white light)
	Electronic shutter	0-10ms, default 5ms
	Standard lens	2.8mm fixed focus lens
	interface	MIPI
Images、indicators	Image settings	Brightness, gain, exposure time
	noise reduction	Supports 2D/3D noise reduction
	Wide dynamic range	support
Tail line interface	source	1 circuit of 2×3.81mm terminal DC12V power supply
	network interface	Dual port handle 10/100Mbps adaptive RJ45 port
	IO output	2-way (reserved)
	IO input	2-way (reserved)
	RS485	1 route (reserved for 1 route)
reliability index	temperature	Operating temperature: -30~+75 degrees Celsius
	static electricity	Contact 6KV air 8KV
	surge	Electric surge 2KV、Network surge 2KV
	EFT	Power supply EFT 2KV
	Anti vibration	National standard
	power supply	12-48V DC
	power dissipation	Power consumption ≤ 5W
	protect	IP65
Structure、parameters	External dimensions	930mm (L) * 200mm (W) * 200mm (H) due to column

2.3 Equipment Tail Line Interface Description

function	identification	explain
source	DC12V/GND	Supports 12-24V DC, standard 12V/2A
Ethernet port	ETHERNET	Supports 10/100Mbps Ethernet transmission
RS485 interface	AB	Reserved

2.4 Interface Description

2.4.1 Power interface
The power input interface is marked with GND and 12V on the rear terminal of the device. The detailed explanation is as follows:
Power interface description:

Signal Name	Signal direction	Function Description
12V	POWER	12-24VDC DC input
GND	POWER	Power supply ground

The internal power input of the device has reverse polarity protection, overvoltage protection, and surge protection.

2.4.2 Integrated interface
The rear terminal of the device is the integrated interface, as detailed below:
The RS485 interface is a non isolated differential half duplex interface, supporting a maximum baud rate of 115200.
The output is a passive relay switch output, with a contact voltage capacity of 24VDC/120VAC; Power capacity
The quantity is 30W.
The default input is the switch input, which is triggered by a short circuit to ground. The level input can be selected through the jumper cap.

2.4.3 Ethernet interface
The slot at the back of the device is marked as ETHERNET, which is the camera Ethernet interface used to transmit camera control commands, capture image results, and video streams. The default factory IP address for the camera is 192.168.0.10. Users can browse images and configure camera parameters through a web browser.
2.4.4 TF card interface
The slot at the back of the device labeled as TF CARD is a Micro SD card interface that supports SDHC standard TF cards. Supports a maximum expandable card capacity of 64GByte.

2.4.5. Reset key
The reset key is indicated as RST in the rear slot of the device. Press and hold the reset button by hand, briefly press for 2 seconds, and the device will be restored to the default IP address, username, and password. If long press for more than 10 seconds, the device will be fully restored to its factory settings. Press the reset button, the device will not restart.

2.4.6 Parking space status indicator light
Display the current parking status, supporting 7 colors including red, green, and yellow, and can customize the display colors for different parking status.