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Track every forklift with
SLAM-based precision.
Powered by SLAM-based tracking. No anchors, no limits.
Without Anchors or Tags. 15cm Accuracy.
Revolutionary SLAM-based tracking that eliminates the need for fixed infrastructure while delivering
centimeter-level accuracy.
Get the highlights.
Technical Specifications
Engineered for performance, designed for reliability.
How Forklift Tracking RTLS works.
Advanced engineering meets practical deployment.
Sensor Fusion
LiDAR, IMU, and odometry sensors create comprehensive position awareness.
Real-Time Mapping
System builds 3D facility maps automatically as forklifts operate.
Precision Localization
Advanced algorithms deliver 15cm accuracy without external references.
Measurable impact.
Real-world deployments.
See how leading organizations use Forklift & AGV Tracking RTLS.
Manufacturing Plants
Track material movement and optimize production flow with real-time visibility.
Distribution Centers
Maximize throughput and reduce congestion with intelligent fleet management.
Cold Storage Facilities
Monitor operations in extreme environments without infrastructure concerns.
Automotive Assembly
Coordinate just-in-time delivery of parts across massive production floors.
Food & Beverage
Ensure compliance and traceability in regulated production environments.
Ready to transform
your operations?
Discover how Forklift Tracking RTLS can deliver unprecedented accuracy and
efficiency for your business.
Frequently Asked Questions
Everything you need to know about Forklift Tracking RTLS
SLAM in AGV stands for Simultaneous Localization and Mapping. It allows automated guided vehicles to map their environment and navigate accurately without relying on fixed infrastructure or anchors.
SLAM technology is used for real-time mapping, navigation, and tracking in dynamic environments. It helps AGVs, robots, and forklifts operate autonomously with precision and situational awareness.
The SLAM technique uses sensors like LiDAR, cameras, and IMUs to detect surroundings, build 3D maps, and calculate an object’s exact position. It enables accurate movement and obstacle detection across facilities.
LiDAR is a sensing technology that scans the environment using lasers, while SLAM combines LiDAR data with localization algorithms. Together, they provide accurate, self-updating maps for autonomous navigation.
SLAM-based forklift tracking uses onboard sensors to locate and monitor forklifts in real time. It delivers centimeter-level accuracy and simplifies deployment by removing the need for external tags or infrastructure.
Forklift tracking systems are used in manufacturing plants, logistics hubs, cold storage units, and distribution centers. They help businesses improve workflow, safety, and resource planning.
Real-time visibility enables data-driven decision-making by showing where each vehicle is and how it’s being used. It helps optimize travel paths, schedule maintenance, and manage workloads more efficiently.
In large facilities, forklift tracking provides continuous visibility of vehicle movement across zones. It helps identify inefficiencies, prevent collisions, and ensure faster coordination between warehouse operations.