Real-time asset tracking is the process of tracking a physical asset in a facility to define its location. An asset can also be materials or products that are being tracked to monitor their flow throughout the production process. The goal of tracking assets is to maximize asset utilization, prevent asset misuse and optimize their role in all processes.
Tag-Based Tracking：Every asset carries a slim localization tag that pulses to ceiling-mounted anchors. Anchors forward the data to the RTLS engine, which computes asset position in real time to ±30 cm. Tags are usually fixed to the pallet, not the product, so they stay with the load throughout its journey.
Tag-Free Tracking via Vehicles：When thousands of pallets are moved by forklifts, tagging every pallet sends ROI plummeting. Instead, a single vehicle tag per forklift captures the live location and flow of every load it handles—delivering full asset visibility at a fraction of the cost.
Real-time monitoring of the location of every pallet, tool, and material within the entire factory, with an accuracy of 1 foot (30 centimeters), ensuring comprehensive real-time visibility of assets.
Reducing the time spent locating lost or misplaced assets, enhancing work efficiency.
In scenarios where hundreds or even thousands of assets (e.g., pallets) are transported by vehicles like forklifts, a higher return on investment is achieved by tracking a smaller number of forklifts instead of all pallets.
Achieving complete real-time visibility of material locations and their flow within the facility by tracking forklifts, while keeping the cost of indoor tracking projects at a minimum.
Synchronization of tag entry and exit timestamps with systems like MES (Manufacturing Execution System) to automatically generate production performance metrics and drive adaptive adjustments of equipment parameters.
Achieving zero-delay flow of production data to improve production efficiency and response speed.
Setting up electronic fences for different areas, where incorrect entry by tags triggers alarms, reducing the risk of contamination in sensitive areas.
Automatically tallying work hours by combining timestamps of tag entries and exits from different areas, analyzing work rhythms and process efficiency by统计 (statistically analyzing) the dwell times of tags in various areas, thereby enhancing production efficiency.
The system automatically records the trajectory of each located object, including process nodes, dwell times, and equipment numbers, supporting path retracing for any time period to quickly pinpoint the root cause of quality issues.
Quickly identifying process omissions by retracing historical trajectories, optimizing workflow.
This website uses cookies to ensure you get the best experience on our website.
