Vivotek, SC9133-RTL, S Series, AI People Counting Camera for Flexible Mounting Height and Scenarios
Features:
- AI People Counting Accuracy: up to 99%
- Deep Learning AI Classification Capability
- Fisheye Camera with Extended Field of View Allowing for Better Coverage
- Wide Dynamic Range for Challenging Lighting
- Flexible Mounting Height 1.9 to 10 m
- Stitching Up to 7 CAMs
- Up to 99% accuracy
- U-turn option / Bi-directional
- Zone detection for loitering alarm
- Queue analysis
- Support multiple rules
- Enable AI classification with firmware upgrade - Gender, Bicycle/Wheelchair/Stroller, Adult/Child, Luggage
- Large FOV to extensive counting areas
- WDR for high contrast settings
- Crystal clear in low light conditions
VIVOTEK's SC9133-RTL is a counting camera, equipped with latest AI Deep Learning people detection and classification technology, accurate up to 99%. AI-based Customer Classification simultaneously counts people and distinguishes object types, ensuring only people are counted, reducing false detection rates.
SC9133-RTL generates information such as people counting, object path tracking that is applied to in-store layout improvement, promotional evaluation, staff planning, and the control of service times, providing business owners key metrics to effectively make operating decisions and increase ROI. Adults or children, single individuals or groups, can be distinguished from non-human objects such as shopping carts and strollers, providing accurate counting analytics even at the busiest and most congested times.
Human object recognition can identify which motion comes from nonhumans to avoid false counting. Beyond that, the AI neural network engine keeps enhancing the counting accuracy rate and updating AI skills such as queue management, zone counting, crowd detection, and more. It turns into a sophisticated and specialized camera that is beneficial for gathering analytics and distinguishing customer characteristics in each retail scenario.
For more information, please see 
Data Sheet and Quick Installation Guide
