P2P Group is pleased to report that testing of its AI-driven Wi-Fi signal tracking system has demonstrated sub-metre precision (10cm to 1m), achieving the same accuracy as BLE 5.1 without needing specialised tracking hardware.
The hope is that this will remove capital exxpenditure for the deployment of beacons, locators, and gateways, a multi-billion dollar hardware market forecast to grow to $70bn by 2039 before software subscriptions and installation costs. Reportedly, this will eliminate barriers to entry, and key complexity and scalability barriers associated with traditional BLE-based tracking solutions.
Traditional BLE beacon systems rely on battery-powered sensors, locators and professional installation. P2P Group is focusing its AI-driven approach on delivering the same without the hardware requirements, using existing Wi-Fi signals to deliver the same outcome.
In doing so, this is expected to remove key barriers associated with beacon-based tracking, including costly hardware purchases, batteries to replace, installation complexity, and scalability limits associated with physical infrastructure.
Unlike traditional BLE tracking systems requiring regular hardware upgrades and maintenance, Inturai continuously leverages AI to improve over time.
“Testing confirms that AI-enhanced Wi-Fi tracking can replicate BLE 5.1’s precision —and we expect it to get much better over time,” said Ed Clarke, CEO of P2P Group. “By removing hardware entirely, we’re addressing the significant cost and deployment challenges in real-time home and site intelligence across hundreds of billions of dollars of addressable market. This approach makes high-precision spatial intelligence more scalable and accessible than ever before.”
The company is targeting widespread deployment with applications including healthcare and aged care, smart homes and security, logistics and retail, and industrial and military applications.
P2P Group will continue development and testing in different environments to improve upon reliability, scalability, and long-term AI improvements.
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