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    TDI TD2000 (G2 & G3) — setup & calibration guide

    The TDI TD2000 series are AI-powered 3D overhead sensors combining precision people counting with behavioural analytics. The G2 and G3 generations are both supported. G3 adds 1TOPs deep learning chips and Re-ID capability via the TD4000 edge device.

    Key capabilities

    Counting

    Bi-directional entry/exit, occupancy, pass-by statistics

    Analytics

    Dwell time, heatmaps, visitor paths, group/family detection

    Demographics

    Gender recognition (optional), adult/child classification, staff exclusion

    Privacy

    GDPR-compliant: anonymised data, head encoding, full image blackout/blur mode

    Connectivity

    PoE Ethernet (Cat5e), HTTP/HTTPS, FTP/FTPS

    Mounting height

    2.2 m – 8 m (up to 14 m with special lens)

    Power

    PoE (4W average, 8W max)

    Storage

    8 GB flash, 90 days local data retention

    Step 1 — Access the sensor web interface

    1. Connect your computer to the same network as the TD2000.

    2. Open a browser and enter the sensor's IP address (default: 192.168.1.8).

    3. Log in with your credentials.

    Step 2 — Camera calibration

    1. Navigate to Camera Config.

    2. Section Frame — draw a rectangle covering the full floor area in the camera's view. This enables automatic height and tilt detection.

    3. Device Height — enter the exact mounting height in cm (range 230–1400 cm depending on lens type). Accuracy is critical — incorrect height causes miscounts.

    4. Device Angle — adjust X and Y axis values if the sensor is not perfectly level. Start at 0/0 and make small adjustments.

    5. Click Auto Calibration for an initial estimate, then fine-tune manually.

    6. Click Save.

    Height verification tip: After setting the height, go to the Counting page and observe the displayed heights of people walking through. If the average height shows ~150 cm but actual visitors are ~170 cm, increase the height setting by the difference (e.g. add 20 cm). Repeat until displayed heights match reality.

    Step 3 — Define counting zones

    1. Navigate to the Counting section (older firmware: "Customer Flow Statistics").

    2. Click Edit on Zone 1.

    3. Click Snapshot to capture a live floor view.

    4. Draw the following zones on the floor plan image:

    Entrance zone (red)

    The area on the inside of the counting line — where people are when inside the monitored space

    Exit zone (green)

    The area on the outside — must not overlap with the Entrance zone

    Counting zone (yellow)

    Larger area fully containing both entrance and exit zones

    Exclusion zone (optional)

    Areas to ignore — staff-only areas, service doors, etc.

    1. Set Min/Max Counting Height to filter out objects that are not people.

    2. Give the zone a descriptive name and check Activate.

    3. Set the Real-Time Report Sampling Interval (1, 5, 10, 15, 30, or 60 seconds).

    4. Click Save.

    Step 4 — Additional counting settings

    Count Once

    Enable to count each person only once even if they re-enter the zone. Common in retail.

    Family Count

    Groups people within 10 cm of each other as a single unit — prevents counting family members as separate visitors.

    Track Mode

    Head tracking (recommended for bi-directional counting at standard heights). Foot tracking (better for dwell zone detection or low mounting heights).

    Step 5 — Enable dwell zones (optional)

    1. Go to Dwell Zone Management.

    2. Define zones where you want to measure time spent (e.g. checkout, product display).

    3. Configure: Min Occurrence Time (minimum time to count as a dwell), Max Merging Time (gap allowed before counting as a new visit), and Average Serving Time.

    4. Save.

    Step 6 — Configure data privacy mode

    1. Go to Advanced Options → Device Management.

    2. Find Privacy Mode and toggle it ON.

    3. When enabled, the sensor interface shows only counting boxes and tracking lines — no identifiable video. Save.

    Step 7 — Enable gender recognition (optional)

    Gender recognition is disabled by default. Only enable it if your customer has a GDPR-compliant use case and appropriate signage. It is not available on GPU models (those have it enabled by default via the GPU pipeline).

    1. In the browser URL bar, change the end of the URL to /model (e.g. http://192.168.1.8/model).

    2. In the Feature Recognition Algorithm section, toggle Feature Recognition ON.

    3. Confirm defaultGender shows Working.

    Step 8 — Optional Wi-Fi setup (G2, BG2, G3, BG3 only)

    Wi-Fi requires a supported USB adapter (TP-Link TL-WN725N or TL-WN726N).

    1. Plug the adapter into the TD2000's USB port.

    2. Navigate to http://[IP]/#/wifi in your browser.

    3. Enable Wi-Fi, enter your SSID and password, set DHCP or manual IP, click Save.

    When Wi-Fi is active, the Ethernet port can only be used for sensor configuration — data is sent via Wi-Fi only. The TD2000B (older model) does not support Wi-Fi.

    Step 9 — Connect to Vemcount

    The TD2000 pushes data to Vemcount via HTTP/HTTPS. Configure the data push URL in the sensor's Push Settings section — your Vemco implementation engineer will provide the correct endpoint URL for your account. Ensure outbound TCP 443 is open to data.vemcount.com.

    Full official TDI documentation and knowledge base: emea.tdintelligence.wiki

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