A moat is a single, self-contained microsensor node. Each moat measures one cubic millimeter or less and is roughly the size of a grain of sand. These moats are released as clouds, with thousands of sensor nodes simultaneously sampling the target from multiple angles and positions. The biometric data being collected includes location, facial and body recognition, heart rate, blood pressure, body temperature, breath rate, voice recognition, and fingerprint scanning. The system is designed to create a unique cryptographic signature for every individual based on biological and behavioral data, and is designed to operate without being noticed. The patent describes the moats as a cloud around the user, but UC Berkeley researchers have successfully implanted Smart Dust sensors into rats in order to monitor and control nerve and muscle activity.

This technology requires no batteries and relies on ultrasound to draw power. Scientists claim that for humans, internal Smart Dust devices could monitor vital signs and could enable control over prosthetics and robotic limbs. In March 2022, the University of Washington’s Dandelion breakthrough, partially funded by the U.S. Air Force, deployed tiny battery-free wireless sensors by wind inspired by Dandelion seeds. The senior author stated that, that you could use a drone to release thousands of these devices in a single drop. In 2024, a large blanket of fog affected the United Kingdom, the USA, and Canada. Over 20,000 travelers in the UK and 3.8 million drivers in the USA were impacted.

People described it as a thick blanket of fog, with a particle-like appearance, which had an odd chemical, electrical, or burning smell to it. And many people claim to experience fever, coughing, sore throat, headache, and fatigue after exposure. The fog hit during the Christmas and New Year travel period, when millions were moving around for the holidays. A second patent, U.S. 11748578B1, Predictive Text System, was filed in November 2021 and granted on September 2023 to Wells Fargo Bank. This patent describes a system that uses neural networks and machine learning to analyze and predict your financial thoughts and intentions in real time as you type.

Combined with the biometric data from Smart Dust, this creates a system that can monitor both what you’re physically doing and what you’re thinking about financially. A predictive behavioral surveillance system designed to be always-on and continuously learning. This is the exact infrastructure needed for implementing a social credit system. The Smart Dust market was valued at $153.9 million in 2024 and is estimated to grow at a compound annual growth rate of over 14.3% from 2025 to 2034. Industrial use has increased significantly in 2023 and 2024, with integration of artificial intelligence and machine learning algorithms now allowing Smart Dust devices to analyze data locally and make autonomous decisions.

This technology is currently moving from laboratories to public deployment, which has naturally caused concern. In the 1950s and 60s, the U.S. Army conducted open-air biological and chemical tests over American cities without public knowledge or consent. Greg Reiss reporting. Thank you. [tr:trw].

See more of Greg Reese on their Public Channel and the MPN Greg Reese channel.