Deep learning embedded, powerful platform ensuring
high performance and future extension capability.
Same device for use with multiple purposes, saving
your total deployment units and cost.
Tilt-view design with wider coverage, capable of
counting passers-by traffic with improved accuracy.

Brief Introduction


TD1501 is an intelligent edge-end image recognition sensor specifically designed for people counting with a tilt view, allowing it to cover a wider area than commonly used top-view sensors. This feature enables the sensor to perform both entering and passing traffic counting with a single device, eliminating the need for extra computing devices or edge boxes. This makes it a cost-effective and efficient way to count passing traffic while also monitoring the number of customers entering and leaving a store.

Additionally, embedded with high-computing deep learning chips and empowered by Re-ID (pedestrian re-identification) technology, the product has the potential to work with an edge computing unit to conduct in-depth analytics (unique visit counts, excluding staff, gender statistics, shopper path analysis etc.). Video capturing and data analytics are conducted on the edge and processed anonymously to protect personal information.

Advantages


High Performance
With built-in deep learning capability, TD1501 is amongst the next generation sensor with great potential to buid applications based on behavioral analytics.
Cost Saving
The same device can be used to count walk-in/out, and passing by traffics without compromising accuracy, therefore saving cost in total deployment units.
Manageability
All TD devices can be easily set up, maintained and upgraded to advanced version firmware, through user-friendly web interface, either locally or remotely over Internet.
Installation

Discreet and aesthetic design enhances store environment without detracting from brand image.

Protection of Personal Data

Internal data analysis prioritizes customer privacy with only anonymized information delivered and no facial imageries involved.

Key Features


  • All-in-one device with built-in data capture, storage, analytics and delivery
  • Sensor designed with tilt-view for counting both in and out traffic as well as passing traffic with a single device

  • Easy to use web interface for remote management, configuration and software upgrade
  • Deep learning and Re-ID equipped platform for future applications

  • Video resolution up to 5 megapixels

  • Supports scheduled storage and output of digital video for validating counting accuracy remotely
  • Stores counting metrics at a per-minute granularity
  • Flash memory stores data up at least 90 days
    in device (subject to configuration setting)
  • Data packaged in XML packets and transmitted over HTTP/HTTPS, FTP/FTPS, or daily E-mail
  • Adjustable brightness, contrast, saturation, sharpness, white balance, AWB, AGC, AE, backlight compensation, bright light suppression, etc. through web browser

Datasheet and Specifications


Click below ‘DOWNLOAD’ to get a complete version datasheet and specifications of the product.

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