Products

QLD_CMS Queue Level Detection Management Server

Queue Level Detection(QLD)

Utilizing deep learning-based image recognition analysis technology

(1) The congestion detection and analysis server is composed of cameras and congestion image detection controllers, and also features real-time image feedback capability.
(2) It is equipped to process real-time images and detect spatial density within the real-time detection area at least once per second (ranging from 0% to 100%). The values are then transmitted to the congestion detection controller and logged.
(3) It can provide information on vehicle waiting events within the detection area, including the accumulated waiting time, to the congestion detection controller and generate logs.
(4) The detection unit's detection area can be planned according to each detected lane, and settings within the detection area can include values for vehicle congestion saturation space, waiting event detection, and cumulative event duration.
(5) The detection unit's detection area must be capable of detecting congestion spatial density, waiting events, and vehicle type analysis including large vehicles, small vehicles, motorcycles, etc. Additionally, it should encompass the detection of multiple vehicle waiting events within the detection area and statistical tracking of event duration.
(6) It provides real-time images in H.264 format, with a minimum resolution of 704×480 pixels, at a rate of at least 5 frames per second (5 FPS) or higher. The provided real-time images must display the real-time detection area and its status.

Model: QLD_CMS

Category: Server

Tag: Queue Level Detection(QLD)

1.Capable of monitoring, managing, and operating the congestion detector.
2.Capable of receiving event alerts and event image displays detected by the congestion detector.
(A)Receive congestion rate data reported by the analyzer every minute.
(B)Receive real-time reports of vehicle waiting events from the analyzer.
(C)Receive on-site equipment status.
(D)Receive vehicle type and traffic flow data per minute.
(E)Receive per minute data on average vehicle speed.

Operating System Central Processing Unit Memory Storage Disk Controller Transmission Interface Unit Cooling Fan LCD Panel Cover Other Management Features Power Supply Casing or Enclosure
Windows Server 2019 or above, with 5 CAL licenses Intel Xeon Silver 4309Y 8-core processor x2 32GB DDR4 RAM or higher, supports up to 32 memory slots Hot-swappable SSD 600GB*3, supports up to 24 2.5-inch slots 12Gb/s SAS interface*1, supports Non-RAID or Pass Through USB 3.0 *3, built-in Micro USB management port *1, HDMI *1, 1GBase-T *2, supports up to 8 PCIe expansion slots Supports hot-swapping and redundancy Bezel with hot-swap function, operation buttons for setting management control chip IP Address, and can display system status and error information. . Wireless network connectivity
. Capable of managing server hardware, system health status, and error messages for mobile devices
. Includes KVM function for remote management
Dual power supplies, supports hot-swapping and redundancy Standard 19-inch 2U rack-mounted server, including mounting kit
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Queue Level Detection(QLD)

Application Actual Cases

HiPower provides professional AIOT comprehensive solutions.

We integrate image detection and analysis technology, optical sensing signals, and IO control linkage design.
We also employ various technologies such as WEB cloud platform communication specifications and user interface integration components.
Based on the specific requirements of different industries, we offer customized decision-maker analysis management systems to our clients. Additionally, we provide application solutions for various industries.
Our goal is to combine cloud application system platforms to deliver advanced decision-maker analysis management systems that meet the needs of our customers