New 5G Geolocation Tech Hits Sub-10cm Accuracy
A new 5G geolocation service from ZaiNar is reportedly achieving sub-10cm accuracy without requiring any device changes. Venture capitalist Steve Jurvetson called it a potential 'killer app' for mobile carriers, enabling a new wave of hyper-precise location-based services and analytics.
After operating in stealth for nine years, ZaiNar has emerged with over $100 million in funding and a valuation surpassing $1 billion. The company's investor list includes prominent figures from the tech world, such as Jerry Yang, co-founder of Yahoo!, Tom Gruber, co-founder of Siri, and Jaan Tallinn, a founding engineer of Skype. The core of ZaiNar's technology is achieving sub-nanosecond time synchronization across wireless networks, a precision level a thousand times greater than conventional methods. By knowing that radio waves travel at about 30 centimeters per nanosecond, the system can calculate a device's location with high accuracy by timing signals that are already being transmitted, without needing new hardware or draining the device's battery. ZaiNar's system utilizes the 5G Sounding Reference Signal (SRS), which is sent 100 to 500 times per second, unlike other 5G positioning methods that rely on signals sent only once per second. This allows for the real-time tracking of fast-moving objects, a significant advantage over GPS, which can be slow and fails indoors, and Ultra-Wideband (UWB), which is precise but often requires a direct line of sight and new hardware. This network-side approach also bypasses the need for permissions from device operating systems like those from Apple and Google, which often restrict location signal access. By using the SRS, which is essential for maintaining a network connection, carriers and enterprises can get direct access to location data for any connected device. While current commercial deployments are in industrial sectors like healthcare for tracking medical devices and construction for monitoring safety zones, the potential for consumer applications is vast. The technology could enable hyper-local marketing, with retailers targeting customers in specific aisles of a store. For social media analytics, this level of precision could provide unprecedented insights into consumer behavior and foot traffic patterns, distinguishing between people who walked past a coffee shop versus those who went inside. It could also power next-generation augmented reality games and localized search, where digital information is overlaid onto the physical world with pinpoint accuracy.
