DTK LPR Solution: Deployment Best Practices and Performance Tips

Assess requirements: expected throughput (plates/sec), number of lanes/cameras, peak hours, retention period.
Choose architecture: central Management/Database server + distributed LPR Service nodes for scale and fault tolerance.
Network sizing: allocate bandwidth for RTSP/H.264 streams and JPEG/frame uploads; prefer Gigabit LAN for multi-camera sites.
Hardware selection: use CPUs with high single-thread IPC for CPU-only setups; add NVIDIA GPUs (CUDA/TensorRT) where real‑time high-throughput processing is needed.

Camera type: daylight + IR-capable LPR cameras with IP66/67 housings for outdoors.
Resolution & lens: 1080p (minimum) with lens chosen so plates occupy ~10–20% of frame width.
Mounting height & angle: 3–4 m high; aim ~0–30° angle to plate surface; avoid steep oblique views.
Field of view / lanes: one camera per lane ideal; max two lanes if plates remain large in frame.
Lighting: use IR illuminators or headlight compensation; avoid direct sun/glare and reflective obstacles.

Manual exposure/white balance: disable aggressive auto settings to reduce noise.
Shutter speed: increase for high-speed lanes to avoid motion blur.
Codec & compression: prefer MJPEG or low-compression settings; minimize GOP size and heavy compression artifacts.
Frame rate: 15–30 FPS depending on vehicle speed and required detection window.

Countries/formats: set relevant country codes in DTK parameters to improve recognition accuracy.
Plate size thresholds: tune MinPlateWidth/Max

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