What are the main data identification and acquisition technologies in logistics?

The main data identification and acquisition technologies in logistics are as follows: 1. Text recognition technology: Through OCR (Optical Character Recognition) technology, the text information in paper documents such as logistics documents, waybills and invoices is converted into recognizable electronic data. 2. Image recognition technology: through computer vision technology, the images in the logistics scene are analyzed and recognized, such as identifying the shape, color, size and other information of goods. 3. Sensor technology: By installing sensor equipment, the parameters such as temperature, humidity and pressure in the logistics link can be monitored in real time, and the data will be collected into the system for analysis and processing. 4. Wireless communication technology: Through the Internet of Things technology, all kinds of equipment and sensors in logistics are connected to the cloud platform to realize real-time data collection and transmission. 5. Data mining technology: Through the mining and analysis of logistics data, the laws and trends are found to provide support for logistics management and decision-making. Octopus collector is an Internet data collector with comprehensive functions, simple operation and wide application. If you need to collect logistics-related data, Octopus collector can provide you with intelligent identification and flexible self-defined collection rules to help you quickly obtain the required data. Learn more about the functions and cooperation cases of Squidward Tentacles Collector, please go to official website for details.