A solar-powered, AI-driven tracking and security node. Camera, directional audio, and 24 GHz radar fused into a single low-power device. Think of it as a stationary security guard — the kind that never sleeps, never blinks, and never costs you a wage.
Recommended: hero shot of the node mounted on a fence post or beside a machine, solar panel visible
1600 × 900 px minimum, dark/neutral background
The Sentry Node is a self-contained, solar-powered tracking device built around a MAX78000 AI inference microcontroller and an ESP32-S3 systems controller. It fuses three independent sensing modalities — a camera with floodlight, dual-microphone directional audio, and 24 GHz radar — into a single fanless, near-silent unit small enough to mount with adhesive tape.
Unlike traditional security cameras that simply record, the Sentry Node runs neural-network inference directly onboard. It detects, classifies, and tracks targets — people, vehicles, livestock, machinery — in real time, then reports events over its dual-band LoRa radio to any TrueMesh node in range. No internet, no cloud, no monthly fee.
The whole system is engineered around extreme low-power operation. A 15 W solar panel through the onboard MPPT charger is enough to keep two 18650 cells topped up indefinitely. A USB-C input is provided for permanent installations. Stick one to the back of a machine with 3M tape, mount one on a fence post, plant one in a field — once it's powered, it watches.
Each modality covers blind spots in the others. Together they give the AI a complete picture of what is moving, where, and how fast.
A low-power image sensor feeds the AI inference layer. When motion is detected after dark, a 10 W triple-LED floodlight kicks on automatically — letting the camera see in pitch black and warning whatever is out there that it has been spotted.
Two MEMS microphones spaced along the X-axis give the node 360° directional hearing. Even when a target is outside the camera's view, the node can locate it by sound — direction by phase difference, distance estimated from amplitude.
A 24 GHz mmWave radar measures the precise speed and rough position of moving targets out to 25 meters. Works in fog, rain, dust, smoke, and total darkness — anywhere a camera struggles. Tracks one target at a time, switchable on the fly.
Every part on the board has a job. Click any card to see how it can be customized or extended.
A purpose-built neural-network accelerator running target detection and classification directly on the silicon. Microcontroller-class power draw with computer-vision-class capability.
An RTOS-driven ESP32-S3 handles everything outside of vision inference — directional audio processing, radar polling, radio comms, speaker output, LED control, and power management.
An ultra-low-power image sensor with a built-in lens, feeding the AI inference layer directly. Designed from the ground up for always-on machine vision, not human-facing photography.
A cool-white 6500 K floodlight built from three series LEDs driven by an LM3410 boost converter. Triggered automatically by motion at night, both to illuminate the target for the camera and to make the node's presence known.
Two digital MEMS microphones spaced along the X-axis enable directional audio across a full 360° arc. Phase analysis on the ESP32-S3 calculates bearing; amplitude estimates rough range.
A C4001-based mmWave radar tracks one moving target at a time out to 25 meters, returning precise speed and rough range data even through fog, rain, smoke, dust, or total darkness.
A dual-band LR1121 radio (915 MHz sub-GHz and 2.4 GHz) lets the node participate in the TrueMesh / Meshtastic network. Events are pushed silently to any Pocket Beacon or base station in range.
An onboard 3 W / 4 Ω loudspeaker driven by an NS4150B amplifier. Used for siren and alert tones, deterrent voice playback, and — uniquely — as a node in a mesh-wide public address system driven from any Pocket Beacon.
A 2-pin JST input accepts a solar panel through an onboard MPPT charger. A dual 18650 holder keeps the system running through cloudy days and overnight. USB-C is provided for fixed installations.
A stationary security guard. Anywhere you'd want one watching but can't justify the wage.
Watch cattle, sheep, or goats across a field with no human present. Count head, detect predators, flag distress events. Cover odd-shaped fields with a couple of nodes and no blind spots.
Mount on a fence post, gate, or driveway to detect humans, vehicles, or anything else that doesn't belong. Silent LoRa alerts. Optional floodlight and audio deterrent on confirmed intrusion.
Stick a node next to a production-line machine, a tool rack, or a retail shelf with 3M tape and a USB-C cable. The AI learns the normal state and logs every change — machine faults, missing tools, items leaving a shelf — with timestamped frames you can pull on demand. No PLC integration, no scrubbing CCTV.
Radar-grade speed and direction data on every passing vehicle. Useful for private roads, ranch entrances, parking lots, or anywhere counting and classifying traffic without a roadside permit matters.
Solar-powered, mesh-reporting, no infrastructure required. Drop a few around a remote camp, cabin, or worksite and have a complete sensor perimeter that talks back to a Pocket Beacon in your pocket.
Speak into a Pocket Beacon and your voice plays out of every Sentry Node on the network at once. Call workers in from the far paddock, issue site-wide announcements, or push evacuation orders across an entire farm or campus with no wiring and no cell service.
Recommended: exploded-view diagram showing the camera, mics, radar, LoRa antenna, floodlight, and battery stack
A render of the field install with solar panel attached would also work well here
Sentry Nodes are still in active development, but we're booking pre-orders and pilot deployments now. Reach out and tell us where you'd like one — fence line, factory floor, ridge top, shop shelf — and we'll figure out what it needs to do.
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