EET distributes Hikvision's traffic control and LPR camera solutions
With AI based on deep learning, EET now adds to its commercial proposal the solutions of Hikvision to improve traffic management and road safety in cities and municipalities.
As an official distributor of Hikvision, the wholesaler EET makes this manufacturer's technology available to cities and municipalities to improve traffic management and road safety, con AI based deep learning, and transform urban mobility efficiently.
The system of intelligent monitoring for traffic control Hikvision for cities offers video detection based on deep learning technology (deep learning) which offers a detailed accurate vehicle identification and analysis that circulate on urban and interurban roads in real time.
Las ANPR traffic control cameras from Hikvision have an image capture speed of up to 60fps, in addition to high-power sensors capable of identifying vehicles, even in adverse weather conditions and low lighting, capturing images in high quality.
The cameras are capable of recognize the license plate with maximum precision, the type of vehicle, the brand and color. They can also detect the use of a seat belt and mobile phone while driving., speed or those traveling in the opposite direction, among other variables.
Also, cameras detect vehicles parked in prohibited areas or who have exceeded the parking time limit; all this with the possibility of sending alerts and notifications to the control center when a violation is detected.
Besides, the system generates real-time traffic statistics and vehicle analysis very reliable that contribute to improve decision making informed, as well as comprehensive traffic management, both in large cities and small towns.
The management of the Hikvision intelligent monitoring system is done through the software HikCentral, Compatible with a large number of common platforms in traffic control centers. This system allows control up 100.000 canales for centralized monitoring of device configuration, users and alarm event management, inter alia.
Intelligent Town Solution
In addition to this management and security system for large cities, Hikvision has also designed the traffic control solution Intelligent Town Solution, specifically designed for small and medium-sized municipalities.
Las license plate reading LPR cameras that uses this solution, with AI technology based on deep Learning, They are installed on the main entry and exit routes of urban centers to improve urban mobility., comply with low emissions regulations and detect unauthorized vehicles.
These devices offer greater effectiveness than 95% in reading license plates, providing optimal image capture even in low light conditions. At the same time, These cameras stand out for their durability in the face of adverse weather conditions and their resistance to vandalism..
To ensure optimal system operation in geographic areas where connectivity may be poor, Hikvision has medium and long range wireless connection systems, omnidirectional, that guarantee efficient transmission of the video signals and data captured by the cameras to the control center.
All information generated by the cameras is processed in real time with the unified control software HikCentral, that analyzes the information received and can be integrated with the DGT databases to verify aspects such as the status of the ITV, stolen vehicles and other incidents.
Thanks to the analysis of data collected by Intelligent Town Solution, authorities can take measures to improve traffic management, detect incidents and prevent problems.
Besides, this technology allows check 24/7 access and movements of a large number of vehicles, helping traffic agents and police forces to optimize their forces at the most appropriate points and times.
The Hikvision traffic control and license plate reading solutions distributed by EET represent a significant advance in the management of urban mobility and initiatives to reduce polluting emissions.
¿Te gustó este artículo?
Subscribe to our NEWSLETTER and you won't miss anything.



