Intelligent Monitoring & Forecasting System

TPCB-FSCB

The Small Insect Body Intelligent Pest Monitoring and Forecasting System breaks through key technologies in live insect photography, specific insect-trapping spectrum, and deep learning identification. It professionally traps and monitors millimeter-level phototactic pests like rice planthoppers and leafhoppers, filling the gap in millimeter-level monitoring. It enables live negative-pressure capture, filters non-target large insects, and prevents insect stacking. A built-in HD industrial camera captures live images for rapid identification and counting of brown planthopper, white-backed planthopper, and small brown planthopper, and supports analysis and prediction of pest damage.

小虫体智能测报系统
  1. Millimeter-Level Small Insect Identification: Specially used for trapping and monitoring miniature insects such as rice planthoppers and leafhoppers.

  2. Large/Small Insect Identification and Filtering: A filter screen is provided around the capture opening to prevent non-target large insects from entering the machine, which would affect automatic identification of small insects.

  3. Intelligent Identification, Automatic Counting: Through AI, it automatically identifies and counts small insects such as brown planthopper genus, white-backed planthopper, and leafhoppers. Identification accuracy rate ≥ 95%, and the dynamic trend fitting degree between automatic counting and manual counting under the lamp is ≥ 0.90.

  4. Remote Control, Automatic Photography: Supports viewing captured photos via web端 and mobile端, and also supports remote photography and working mode changes via the platform.

  5. Live Photography, High Insect Body Integrity: Built-in high-definition industrial camera for live photography, with insect body integrity over 98%.

  6. Built-in GPS Positioning Function: Device site data can be viewed on web maps; device can be tracked if stolen.

  7. Light Control: Automatically turns on at night and automatically turns off (standby) during the day. In nighttime working state, it is not affected by instantaneous strong light exposure to change working state.

  8. Rainproof Design: Can work normally and trap insects normally on rainy days.

  • AI automatic identification and counting of small insects such as brown planthopper genus, white-backed planthopper, and leafhoppers.

  • Identification accuracy rate ≥ 95%.

  • Dynamic trend fitting degree between automatic counting and manual counting under the lamp ≥ 0.90.

  • Supports viewing captured photos via web端 and mobile端.

  • Remote photography and working mode changes via the platform.

  • Built-in GPS positioning function; device site data can be viewed on web maps; device can be tracked if stolen.

  • Analysis and prediction of pest occurrence and development.

Power ≤ 25W
Power Supply DC 12V power supply (solar panel 80W)
Overall Dimensions 670 × 530 × 2110 mm
Identification Accuracy ≥ 95%
Counting Fitting Degree ≥ 0.90 (dynamic trend fitting degree between automatic counting and manual counting)
Insect Body Integrity > 98%
Target Pests Brown planthopper genus, white-backed planthopper, small brown planthopper, leafhoppers, and other millimeter-level small insects
Positioning Built-in GPS
Light Control Automatic on at night, off (standby) during the day
Rainproof Yes
Scroll to Top