License plate recognition (LPR) software can extract plate numbers from dashcam videos, but its effectiveness depends on several factors, such as video quality, lighting conditions, and motion blur.

How Plate Recognition Works on Dashcam Footage

LPR software uses optical character recognition (OCR) and machine learning algorithms to detect and extract license plate numbers from video frames. The process involves:

1. Frame Extraction – Capturing still images from the video.
2. Plate Detection – Identifying the license plate area in an image.
3. Character Recognition (OCR) – Converting plate characters into text.
4. Data Processing – Storing or cross-referencing with databases (if applicable).

Factors That Affect Accuracy

• Video Resolution: 4K and high-quality Full HD dashcams (e.g., BlackVue DR970X) provide better plate clarity.
• Frame Rate: Higher FPS reduces motion blur, improving accuracy.
• Lighting Conditions: Poor lighting or glare can make plates hard to read.
• Camera Angle: A straight-on view increases recognition success.
• Speed of Vehicle: Fast-moving objects may cause blurring.

Recommended LPR Software for Dashcams

If you need to extract plate numbers from dashcam footage, consider these tools:

1. OpenALPR (Open Source) – Good for general plate recognition.
2. Plate Recognizer (Cloud & On-Premises) – AI-powered recognition for various regions.
3. ANPR Cloud Services (API-based solutions) – Services like Sighthound or Anyline process plates in real time.
4. https://www.vaxtor.com