Luminys - LCE-LPR - Pole Mount Bracket for N3/N5/N9/P4/P5 Series Cameras
Part number:
LCE-LPR
Price:
Description
LumiCenter LPR Channel
This add-on module enables LumiCenter Plus and Max to perform real-time vehicle license plate recognition from any surveillance camera. The system sends notification alerts (UI, Text, Email, API) when a license plate from the positive or negative lists is detected. The module can trigger actions, such as opening a gate or running a macro to automate tasks. It also allows searching for license plates in the archive. This add-on includes the LPR Search module (LCE-LPRS).
Features:
- Enables LumiCenter Plus and Max to run vehicle license plate recognition in real time from any surveillance cameras
- Send notification alert (UI, Text, Email, API) when a certain license plate is detected from the positive/negative lists
- The module can initiate opening a gate or other actions running a macro to automate tasks
- Allows searching for license plates in the archives
- A LumiCenter video license is required for each camera in addition to this add-on module.
Key Technologies
LumiCenter can use nearly any brand of surveillance camera to capture vehicle license plates, applying preprocessing to address issues like lighting, angle, or weather. OCR (Optical Character Recognition) converts the plate's characters into searchable text, which is then compared to whitelist and blacklist databases to trigger alerts or grant access. Recognized plate data is indexed with recorded video, enabling users to search archived footage for specific plates for
investigations and retrospective analysis.
Key Features
- Read license plates using any camera
- Convert license plate characters into text
- Compare license plate against positive lists and negative lists
- Search license plate in stored video
Certifications and Compliance
- NDAA Compliant
Applications
- Identify vehicle by license plate
- Monitor parking and track vehicles using license plates
Supported by LumiCenter
- Plus
- Max
| System Requirements and Technical Specifications: | ||
| Region | Only license plates from North America (USA and Canada) can be read and recognized. | |
| Operating System and Software | Microsoft Windows 10 or Higher, Microsoft Visual C++ 2015 Redistributable Package (x64), .NET Framework 4.5.2 | |
| RAM Usage | Each camera requires at least 500 MB of RAM. For example, a configuration of 16 cameras will require a minimum of 8 GB of RAM. | |
| CPU | Intel i7 or i9 processor of the latest generation with a clock speed of at least 3.0 GHz, One core should be allocated per camera at 2MP resolution (since the detection tool operates at 1MP resolution, a 20-camera setup does not require 20 cores), plus two additional cores for operating system tasks. The CPU must support AVX2. For example, For example, a 20-camera setup requires 16 GB of RAM and a CPU with the specified characteristics, including at least 16 cores | |
| Cameras | The minimum required camera resolution is 640 × 360 pixels. The optimal resolution is 1280 × 720, The camera's video stream must have a frame rate of at least 15 fps to handle standard tasks effectively. The recommended frame rate is 25 to 30 fps, It is recommended for the caemra to have auto-focus and zoom functionality enabled | |
| Lighting | The minimum lighting required is 50 lux. Artificial lighting may be used. If there is insufficient or excessive lighting, stable operation of the analytics is not guaranteed, Abrupt lighting changes may cause operational disruptions. | |
| Scene and Camera Angle | For optimal accuracy, position the camera to capture a single lane of traffic—ideally the one closest to the camera, Dual-lane coverage is possible if the camera is centered between two lanes, The camera's horizontal tilt angle from the road to the capture point must not exceed 15°, The recommended working distance to the capture point is as follows: 15–20 meters for low-speed, urban environments, 20–30 meters for higher-speed conditions, The camera should be installed four (4) to six (6) meters above ground level, The angle between the bottom edge of the license plate and the horizon should be 0° to 20°, Avoid installing cameras near bends, speed bumps, junctions, traffic lights, or roundabouts, where vehicles frequently change speed, The detection zone must be located on a straight section of the road | |
| Image Tilt | X-Axis Rotation (Pitch): ± 35°, Y-Axis Rotation (Yaw): ± 40°, Z-Axis Rotation (Roll): ± 35° | |
| Neural Networks | The license plate should appear clearly with no camera distortion or blurring,The license plate image must have minimal noise in low light conditions,The size of license plate must be 15% to 70% of the total image size ,The license plate cannot have more than two rows of characters,The optimal height of license plate characters is 20 to 30 pixels | |
| Ordering Information | ||
| LumiCenter License | ||
| SKU | Product | |
| LSC-PLSV | LumiCenter Plus Version | |
| LSC-MAXV | LumiCenter Max Version | |
| LumiCenter Add-On Modules | ||
| SKU | Add-On Module | Description |
| LCE-LPR | LPR Channel | Enables LumiCenter Plus and Max to run vehicle license plate analysis in real time from any surveillance cameras and send notification alerts (UI, Text, Email, API) when a certain license plate is detected from positive/negative lists. The module can initiate opening gates or other actions running a macro to automate tasks. It also allows searching for license plates in the archives. A LumiCenter video license is required for each camera in addition to this add-on module. This add-on module includes the LPR Search add-on module capabilities (LCE-LPRS). It is recommended to use LumiCenter Net for each camera channel. |
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