AI 驅動害蟲防治燈

Pelsis North America has introduced a digital insect light trap that integrates optical sensors and artificial intelligence to detect, classify, and record flying insect activity in food‑safety environments. The device captures images of insects attracted to ultraviolet light, processes those images with onboard or cloud‑based AI to identify species or insect groups, and logs detections to a central dashboard for trend analysis and compliance reporting. The system is presented as a replacement or augmentation for traditional glue board traps by providing automated, time‑stamped records and reducing the need for manual inspection of individual traps.

Operational benefits cited for food processing and hospitality facilities include continuous monitoring, faster detection of pest incursions, and improved documentation for audits and regulatory inspections. Implementation considerations include ensuring appropriate trap placement to avoid interference with production, validating AI classification accuracy for locally relevant pest species, and integrating trap data with existing pest management workflows and recordkeeping systems. Data security, image retention policies, and procedures for responding to automated alerts are additional factors that facility managers should address when deploying digital light traps.