Argo: Wireless Sensing
Argo is a wireless sensor acquisition system for real-time data capture across distributed environments. Named after the legendary ship of Jason and the Argonauts, Argo brings together multiple wireless nodes that work in coordination toward a common measurement goal.
Argo combines synchronized acquisition without GPS dependency, edge AI processing on the nodes and a sensor-agnostic design, so time-aligned data can be captured even where satellite timing is not available, such as indoor, shielded or underground sites.
Learn More About ArgoThe Legend Behind the Innovation
In Greek mythology, Argo was the ship used by Jason and the Argonauts in their quest for the Golden Fleece. The Argo was renowned for carrying a crew of heroes who had to row and act together to reach their goal.
Like the legendary vessel, our Argo system brings together many parts acting toward a common goal: a clear metaphor for synchronized data capture across multiple wireless nodes. Argo is developed by LEAF Labs, the engine that turns research into products alongside LEAF Advisory.
Deploy Argo in Your Project
GPS-Free Synchronization
Wireless nodes acquire data on a shared timeline without depending on GPS, so measurements stay aligned even in indoor, shielded or underground sites where satellite signals do not reach.
Edge AI Processing
Nodes run AI processing locally for use cases such as anomaly detection and predictive maintenance, analyzing data close to where it is generated instead of sending every raw sample upstream.
Sensor-Agnostic Design
Each node can host embedded sensors or connect external ones through standard interfaces (I2C, SPI, UART, analog 4-20 mA and 0-10 V), so the system adapts to the measurement task.
One Acquisition System, Many Sensors
Each Argo node can host embedded sensors or connect external sensors via standard interfaces, supporting a wide range of embedded and external sensors. Acquisition, synchronization and on-node processing are configured around the measurement needs of each project.
GPS-free
synchronization
Edge AI
on the nodes
Technical Overview
Synchronized Acquisition
Time-aligned data capture across wireless nodes without GPS dependency
Edge AI Processing
Local AI processing on the nodes for anomaly detection and predictive maintenance
Sensor-Agnostic Design
Embedded sensors or external sensors connected through standard interfaces
Configurable Security
Encryption and data protection configured per deployment: encrypted communication, authenticated nodes, signed firmware updates
Core Capabilities
- Wireless sensor acquisition
- GPS-free synchronization
- Edge AI processing
- Sensor-agnostic design
Sensor Interfaces
- I2C
- SPI
- UART
- Analog 4-20 mA
- Analog 0-10 V
Security
- Encrypted communication
- Authenticated nodes
- Signed firmware updates
Edge AI Use Cases
- Anomaly detection
- Predictive maintenance
Where Argo Fits
Argo provides synchronized sensing across distributed wireless nodes, so data captured at different points of a machine, a field or a site can be compared on a common timeline.
Edge AI processing on the nodes brings analysis close to where data is generated, supporting use cases such as anomaly detection and predictive maintenance. See also AI on the Edge.
Detailed specifications, connectivity and deployment options are defined per project. Contact LEAF for the current technical sheet.
Technology Options
The Argo synchronized acquisition protocol can be deployed over wired and wireless networks. It can be configured with Wi-Fi, Bluetooth LE, Cellular 4G/5G, LoRa and Custom sub-GHz connectivity, and with wireless and IoT protocols such as LoRaWAN, Thread / OpenThread, Zigbee and Matter; other wired and wireless transports are assessed per deployment, based on hardware, timing and integration requirements.
Argo can be configured with the options below and integrated with the listed protocols and platforms. They are selected per deployment and are not a fixed specification of every node.
Wireless Connectivity
- Wi-Fi
- Bluetooth LE
- Cellular 4G/5G
- LoRa
- Custom sub-GHz
Wireless & IoT Protocols
- LoRaWAN
- Thread / OpenThread
- Zigbee
- Matter
Sensor Interfaces
- I2C
- SPI
- UART
- Analog 4-20 mA
- Analog 0-10 V
IoT and Industrial Protocols
- Modbus RTU/TCP
- OPC UA
- MQTT
- CoAP
Edge AI Runtimes
- TensorFlow Lite
- ONNX Runtime
- Custom models
Cloud and IoT Platforms
- AWS IoT
- Azure IoT
- On-premises systems via standard protocols
Power
- Battery powered
- Solar powered
- Mains powered
Application Areas
From industrial plants to fields and research sites, Argo supports monitoring wherever synchronized, distributed measurements matter.
Industrial Monitoring
Capture vibration, temperature and process signals from machines and plants on a common timeline. Edge AI on the nodes supports anomaly detection and predictive maintenance.
Agritech
Collect field data such as soil moisture, temperature and microclimate conditions from distributed wireless nodes to inform irrigation and crop management decisions.
Environmental Sensing
Monitor environmental parameters across a site with synchronized acquisition, so readings from different nodes can be correlated and compared over time.
Research
Support experimental campaigns and field studies that need time-aligned measurements from multiple wireless sensors, connecting the sensors each study requires.
Project co-funded by the PR FESR Lazio 2021-2027
The project Argo has been carried out with the support of the Regional Program FESR Lazio 2021-2027 – Co-funded by the European Union, the Italian Republic, and the Lazio Region.
Application Number: A0828-2024-089375
CUP: F88C25002150006
Approval Act: Determination n. G03828 of 27/03/2025
Frequently Asked Questions
Everything you need to know about Argo's wireless sensor acquisition system
Argo is a wireless sensor acquisition system developed by LEAF Labs. It combines wireless sensor nodes, synchronized acquisition without GPS dependency, edge AI processing on the nodes and a sensor-agnostic design for real-time data capture across distributed environments.
Argo keeps its wireless nodes synchronized without relying on GPS, so measurements from different nodes share a common timeline. This makes it suitable for sites where satellite timing is unavailable, such as indoor, shielded or underground locations. Synchronization performance is defined together with the configuration of each project.
Argo is designed to work with a wide range of sensors. Nodes can host embedded sensors or connect external sensors through interfaces such as I2C, SPI, UART, Analog 4-20 mA and Analog 0-10 V. Typical examples include temperature, humidity, vibration, pressure and soil moisture sensors.
Depending on the deployment, Argo nodes can be battery powered, solar powered or simply plugged in to mains power.
Argo nodes can run AI processing locally, close to where data is generated. Typical use cases include anomaly detection on sensor data streams and predictive maintenance for machines and equipment, without sending every raw sample to a central system. Argo can be configured with TensorFlow Lite, ONNX Runtime and Custom models, selected per project.
Argo is fully configurable, including encryption and data protection. It can be configured with encrypted communication, authenticated nodes and signed firmware updates; the security configuration is defined for each project.
Argo is designed for industrial monitoring, agritech, environmental sensing and research, wherever distributed, synchronized measurements are needed.
The Argo synchronized acquisition protocol can be deployed over wired and wireless networks. It can be configured with Wi-Fi, Bluetooth LE, Cellular 4G/5G, LoRa and Custom sub-GHz connectivity, and with wireless and IoT protocols such as LoRaWAN, Thread / OpenThread, Zigbee and Matter; other wired and wireless transports are assessed per deployment, based on hardware, timing and integration requirements.
Yes. Argo can be integrated with existing systems through protocols such as Modbus RTU/TCP, OPC UA, MQTT and CoAP, and with cloud IoT platforms such as AWS IoT and Azure IoT when the project requires it. The integration approach is defined for each deployment.
Evaluate Argo for Your Project
Tell us what you need to measure and where. The LEAF Labs team will help you assess how Argo fits your sensing requirements.
Contact Our EngineersSchedule Consultation