April 20, 2023
Real-time location and sensor solutions (RTLSS) is a game-changing technology that can detect, report, and analyze the location and condition of assets and people in real time. RTLSS uses radio-based protocols such as Bluetooth® Low Energy, Wirepas Wireless Mesh, and Ultra-Wideband. These industrial internet of things (IIoT) technologies have gained massive popularity recently. This is especially true regarding indoor-based and artificial intelligence applications, and they’re poised to revolutionize fitness tracking, healthcare, grocery logistics, and supply chain management.
The Differences Between RTLSS and RTLS
One of the key differences between RTLSS and traditional real-time location systems (RTLS) is the scalability and versatility that RTLSS offers. Traditional RTLS relies on wired infrastructure to provide endpoint intelligence and is often limited in scope and application. In contrast, RTLSS can be quickly and easily deployed in any environment and operated via voice command. The range of sensors and protocols available means that it can be tailored to suit specific needs.
The Reasons Behind the Massive Growth of RTLSS
Driving the growth of indoor-based RTLSS technology is the need for better asset management, people tracking, and environmental sensors. Although they already play a role in smart homes and smart building applications, RTLSS technologies have the potential to revolutionize healthcare and supply chain management.
Healthcare
In healthcare, RTLSS can track medical equipment and personnel via wearables and monitor patients in real time. This is significant because missing medical equipment can cost hospitals and taxpayers enormous money. Misplaced and wasted healthcare equipment costs healthcare providers an annual cost of $765 billion.
Hospitals can set up tags and wall anchors to autodetect equipment, and RTLSS can use badges to locate doctors, nurses, and patients. This can reduce the time and effort spent finding misplaced equipment and personnel, ultimately improving healthcare delivery’s operational mobility, energy efficiency, and effectiveness.
Additionally, RTLSS can be used to monitor patients, enabling healthcare professionals to track vital signs and respond quickly to any changes in condition as they happen. This can be especially useful for patients who require close monitoring, such as those in intensive care units.
Supply Chain Industry
Supply chain management is another area that can benefit from using RTLSS, thanks to the versatility and computational potential the tech enables. For example, grocery logistics can benefit from using RTLSS sensors to auto-record temperature data and track it 24/7, triggering alarms if temperatures fall outside the required range. This can help reduce spoilage and waste, ultimately improving the bottom line for businesses.
RTLSS can also reduce inventory levels, track worker locations, assets, and equipment, and update price changes through data router anchors to shelf labels. This can help streamline supply chain operations and improve efficiency, improving customer satisfaction and increasing profits.
Things to Consider When Implementing Your Own RTLSS Solution
The real-time location segment is projected to reach $40 billion by 2030 – nearly ten times the size of the current market. This growth projection is a testament to the potential impact that RTLSS can have on various industries.
When it comes to implementing an RTLSS solution for a business, several factors need to be considered:
How Ambiq Contributes
The horizons of real-time location and sensor solutions are far broader when supported by long-range and low-power IoT devices. Since these devices perform computing operations at the edge, they need to ensure their processors can perform these tasks on a low electrical charge.
Ultra-low-power wireless System on Chip (SoC) solutions from Ambiq® work together to enable critical IIoT technologies in key industrial sectors. Built on their patented Subthreshold Power Optimized Technology (SPOT®) platform, Ambiq’s products reduce the total system power consumption on the order of nanoamps for all battery-powered endpoint devices.
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