PROJECT DETAILS
Technology Advantages
- GPS Enhancement: Bridges coverage gaps
- Crowd-Sourced : Encourages social awareness and cooperation
- Long Battery Life: 1-year use without charging
- Highly Portable: Compact and lightweight (~1-inch diameter)
- Low Cost: Affordable tags, crowdsourced data, minimal service fees
- Responsive: 1-3s beaconing interval
- Extended Range: Up to 100m (vs. traditional 30m)
- Cost-Effective Setup: Uses phone apps or Android boxes
- Indoor & Outdoor Compatibility
- Privacy & Security Focused
Powerful Angel Box
Introducing the “Powerful Angel Box” – an advanced signal collection device. It detects Bluetooth and LoRa signals, adaptable for fixed or mobile use, even on smart lamps or drones. With Wi-Fi (4G/5G) and PoE connectivity, communication is seamless. Precise location tracking enabled by the built-in GPS module. Easy monitoring and control through the management backend system.
Smart Tags
Our smart tags, incorporating both LoRa and BLE technologies, are designed to be indispensable in search missions. With their versatility, they excel in tracking and fulfilling various operational requirements, making them an essential asset for diverse scenarios. The low energy consumption and simplified deployment further enhance their effectiveness, ensuring reliable and efficient long-range localization tailored to specific user habits.
Underpinning Research and Patented Technology
Deploying a Citywide Crowdsourcing Platform
X. Fan, G. Li, Z. Lin, Y. Hu, L. Yang, T. Jiang, Z. Yin, F. Qian, S. Wang and S.-H. Chan, “Experiences of Deploying a Citywide Crowdsourcing Platform to Search for Missing People with Dementia,” in Proceedings of 30th Annual International Conference on Mobile Computing and Networking (MobiCom’24), Washington, DC, USA, pp. 200-214, September 30 – October 3, 2024 [pdf]
Mobile Crowdsourcing
S.-H. G. Chan and J. Tan, “Cooperative Target
Tracking and Signal Propagation Learning Using Mobile Sensors,” US full patent granted
(US Patent No. 11,525,890 B2), 13 December 2022
J. Tan, W. Wong, X. Zhu, H. Wu, and S.-H. Chan, “Cooperative Target Tracking and Signal Propagation Learning Using Mobile Sensors,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 2, Issue 3, pp. 136:1-136:21, September 2018. [pdf]
BLE Distance Estimation
T. He, J. Tan, W. Zhuo, M. Printz and S.-H. Chan, “Tackling Multipath and Biased Training Data for IMU-Assisted BLE Proximity Detection,” in Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2-5 May, 2022. (cutting memory by 90% and extend battery lifetime by 60% for IoT device)
Drone Coarse Search
Fast coarse search by drones with LoRa using environment-agnostic reinforcement learning (deep Q-learning)