Designing Accurate RTLS Systems for Real-World Success
A real‑time location system (RTLS) tracks people or objects inside buildings with a precision that can range from centimeters to room‑level accuracy. The right balance between accuracy, cost, and operational impact is critical for adoption. Customers evaluate accuracy alongside total cost of ownership, integration complexity, return on investment, and how the system fits into existing data ecosystems.
What Does Accuracy Mean for RTLS?
Accuracy is the system’s ability to report a location within its intended precision bounds. A room‑level system must correctly identify the room, while a centimeter‑level system must place the asset within a few centimeters of its true coordinates. Different use cases demand different levels of precision—sometimes less than expected, sometimes more.
At Link Labs, we partner with customers to align the RTLS design with their specific needs. When a technology doesn’t fit, we recommend alternatives that better match the required precision.
This article explains when varying precision matters and how each RTLS technology achieves its accuracy.
Why Accuracy Matters
Accurate, timely location data is the cornerstone of any RTLS deployment. The expected precision hinges on the use case. For example, a warehouse might need shelf‑level accuracy to track inventory, whereas a nursing ward only requires room identification for patient safety. Exceeding the necessary precision often adds unnecessary equipment and complexity, driving up cost and maintenance.
Many applications can thrive on modest precision; only a few truly demand centimeter‑level detail. Delivering the “just‑right” accuracy delivers value without excess cost.
Indoor Positioning Technologies
RTLS systems determine indoor location using one or more of the following approaches: presence, time‑of‑flight, power level, or angle of arrival.
Presence
Presence‑based systems do not provide X‑Y‑Z coordinates. Instead, they confirm that an asset is within a predefined zone (e.g., a room or corridor). They use infrared, ultrasound, or low‑power radio (BLE) and offer low cost and minimal infrastructure. These technologies are ideal for environments where walls can act as natural barriers—such as hospitals that can install a ceiling‑mounted sensor in each room.
Time of Flight (TOF)
TOF systems measure the travel time of a radio or acoustic signal between a tag and multiple detectors. Accurate distance estimation requires a wide bandwidth, which is why ultra‑wideband (UWB) is the standard for high‑precision RTLS. TOF demands at least three receivers per tag, making it most suitable for open spaces like warehouses. In healthcare, the cost of deploying numerous UWB anchors across many rooms often outweighs the benefit, so TOF is less common in hospitals.
Power Level (RSSI)
Power‑level systems rely on signal strength (RSSI) measurements from beacons transmitted by the tag. By comparing RSSI values across several receivers, the system infers the nearest sensor. This approach uses fewer receivers and is cost‑effective but can suffer from signal bouncing between rooms or floors. Advanced calibration, additional sensors, or machine‑learning algorithms can mitigate these errors but increase complexity and cost.
Other Approaches
Passive RFID, angle‑of‑arrival, and angle‑of‑departure techniques also exist but are beyond the scope of this discussion.
Enhancing Accuracy
Users expect realistic performance; a location that is consistently close but imprecise can erode confidence. For inventory, a room‑level error may be acceptable, but for safety‑critical systems—such as nurse call or panic button platforms—misidentifying a floor can delay life‑saving assistance.
Choosing the right technology for the right use case is essential. Power‑level systems can be improved with additional sensors or RF fingerprinting, but they can never match the precision of TOF or properly installed IR/ultrasound systems.
Link Labs engineers have pioneered patented methods that reduce room‑bounce errors while keeping the cost and complexity of a power‑level system low. Our solutions blend multiple technologies to achieve the desired accuracy where it matters most.
Just‑Right Precision & Cost
We recommend deploying an RTLS that delivers the exact precision needed—no more, no less. Our “Just‑Right Precision” approach customizes deployment density: higher accuracy in critical zones, relaxed precision elsewhere. This strategy lowers equipment counts, reduces infrastructure costs, and shortens installation time.
Our in‑building networks are fully autonomous and do not rely on a customer’s Wi‑Fi or Ethernet. This eliminates IT integration hurdles and enables a parallel network dedicated solely to RTLS data.
The combination of tailored precision, a stand‑alone network, and proprietary error‑mitigation techniques results in faster ROI and opens new RTLS use cases that would be prohibitively expensive with other vendors. Most installations are less intrusive and faster than competitor deployments.
Interested in learning how our RTLS solutions can transform your operations? Give us a call to discuss your specific requirements.
Internet of Things Technology
- Six Proven Strategies for a Seamless RTLS Implementation
- Proven Real‑Time Location System (RTLS) for Healthcare – Scalable, Low‑Cost, and IT‑Friendly
- 5 Essential Features Every RTLS Solution Must Offer
- Top 5 Trusted Sources for Real‑Time Location System (RTLS) News
- Bluetooth 5.1 and Near‑Final UWB Standard Promise 10‑cm Location Accuracy
- Two Key Factors for Successful Industrial IoT Implementation
- Four Pillars of Successful Maintenance Programs: Boost OEE, Cut Costs, Reduce Downtime
- How Industrial Leaders Leverage Ecosystems to Drive Smart Manufacturing Success
- Strategic Blueprint for Digital Transformation Success
- Three Essential Rules to Ensure Analyzer Accuracy