PARTICLE developed a suite of Situations Awareness solutions for private and governmental applications. The solutions are fit for mobile units operating in security and emergency situations. The solution supports mobile devices, wearables (for monitoring activity and health status of professionals) and blue force tracking for enhanced communications and information exchange. PARTICLE solutions can operate over cellular communications (e.g., 4G with secure end-to-end communications) benefiting from existing broadband technologies.  Alternatively, when existing infrastructures are damaged, not accessible or cannot be trusted, private communication ad-hoc networks can be used (provided by low-power, light and portable devices, […]

In case of emergency situations, it is critical to rapidly develop situational awareness.  In numerous past incidents, the use of crowdsourcing tools has proven useful in collecting field information, locating citizens in need and manage the incident. PARTICLE is experience in deploying open-source crowdsourced platforms that allows: Data collection from multiple sources: SME, email, twitter; send custom surveys. Responders App:responders can use their mobile phones and have up-to-date information about incidents. Citizens App: citizens (including volunteers) can use their mobile phones to request help and send updated information (messages, photos, […]

PARTICLE provides mobile phone detection capabilities using radio-frequency scanning on Wi-Fi and Bluetooth interfaces.  The system detects most consumer smartphones, tablets, laptops and handsfree devices available on the market. The information read from each device contains: MAC address, signal strength (RSSI) and the Class of Device (CoD) allowing to differentiate the type of device (e.g., smartphone, handsfree, computer, LAN/network AP). The coverage area can be modified by changing the power transmission of the radio interfaces, which can reach dozens of meters in reach (even in the presence of walls). PARTICLE uses in-house developed algorithms […]