FRAVEye

FRAVEye is a smart IoT device designed for automated pest monitoring in greenhouses, replacing manual sticky card scouting with continuous, high-resolution data collection. It provides growers with reliable, objective insight into pest pressure while significantly reducing labour and response time.
FRAVEye captures daily images of sticky cards using a 12-Mpx high-resolution camera and applies AI models to detect and quantify key greenhouse pests, including whitefly, thrips, aphids, leaf miner, and other common insect pests. Detection results are available in near real time, enabling earlier intervention and more precise integrated pest management (IPM).
The system is designed as a scalable solution. A typical deployment starts at 16 devices per hectare and can be expanded based on greenhouse layout, crop density, and monitoring requirements. This flexibility allows growers to adapt the system to both small compartments and large commercial operations.
FRAVEye is built for easy plug-and-play installation. Each device features a magnetic mounting system, allowing fast, tool-free installation on greenhouse structures. Devices are wireless and powered by an integrated solar panel, eliminating the need for cabling or frequent battery replacement and enabling flexible placement throughout the greenhouse.
All collected data is transmitted wirelessly and made accessible through FRAVE Cloud, FRAVEBOT’s data platform, where users can view intuitive dashboards showing pest counts, trends, and hotspots. For operations using other digital tools, FRAVEye also supports API integration, allowing pest data to be connected directly to existing greenhouse management or analytics systems.
FRAVEye transforms pest monitoring from a manual, periodic task into a continuous, data-driven process. By combining high-resolution imaging, scalable deployment, simple installation, and AI-based analysis, it enables faster decisions, lower labour input, and more targeted crop protection strategies.