Milesight ToolBox vs AWN CropAI

Configuration and Management Made Easy Milesight ToolBox is an intelligent management application designed specifically for Milesight sensor users. With its intuitive interface, it offers efficient and convenient device configuration and operation experiences, reducing learning costs and enhancing work efficiency. Core Features - Easy Configuration: Quickly read and write to node devices using NFC and Bluetooth, eliminating cumbersome setup processes. - Real-Time Monitoring: Access device status information, including power on/off status, network status, and detection status, so you can always stay updated on device operation. - Basic Information Query: Easily view device SN, EUI, hardware version, firmware version, and network signal strength, ensuring transparent and controllable device information. - Smart Configuration: Supports common configurations, threshold settings, calibration, scheduling, and network settings for node devices, meeting diverse usage needs. - Comprehensive Operations: Perform actions such as power on/off, time synchronization, rebooting, resetting, and exporting historical data, making device management more efficient. Download Now and Take Control of Your Devices! No matter if it's smart buildings, energy management, smart agriculture, smart industry, or other application scenarios, Milesight ToolBox will be your indispensable partner. Download now to experience a whole new way of intelligent configuration!

AWN CropAI is a tool designed to help growers assess fruit surface temperature, monitor canopy temperature and stress, evaluate potential sunburn risk, and analyze fruit color using thermal IR cameras. Currently, the app supports apples and grapes. Key Features: 1. Fruit Surface Temperature (FST) Forecast: Receive accurate weather guided FST forecasts based on user location data. 2. Thermal IR-RGB Camera Integration: Seamlessly connect with wireless and USB thermal cameras (e.g., FLIR) to capture images. 3. FST Calculation, Canopy Stress Monitoring, and Sunburn Risk Assessment: Automatically detect supported fruits and canopy regions in captured images to calculate FST, monitor canopy stress, and assess sunburn risk. 4. Fruit Color Analysis: Analyze the proportions of red, green, and yellow colors in the detected fruits from the captured images.