Features:
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Image Processing: Pedestrian detection cameras typically use sophisticated image processing algorithms, including computer vision and machine learning, to analyze video feeds and detect pedestrians in real-time.
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High-Resolution Imaging: These cameras often feature high-resolution sensors and lenses to capture clear and detailed images, even in low-light conditions.
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Day and Night Vision: Many pedestrian detection cameras are equipped with infrared (IR) or other low-light imaging technologies to enable effective pedestrian detection during nighttime or low-visibility conditions.
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Multiple Detection Methods: Pedestrian detection cameras can employ various detection methods, such as motion detection, object recognition, and deep learning algorithms, to identify pedestrians accurately.
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Real-Time Alerts: When a pedestrian is detected, these cameras can generate real-time alerts or notifications, which can be sent to security personnel or integrated with other security systems.
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