Inspiration
What it does
How we built it
## Inspiration
Kyle discovered [Operation Igloo White] https://en.wikipedia.org/wiki/Operation_Igloo_White , which aimed to automate intelligence collection using electronic sensors, computers, and communications relay aircraft. However, contemporary military challenges, particularly from offensive drones, reveal a concerning gap in defensive capabilities. Our focus on real-time sensor data movement arises from the urgent need for innovative defensive solutions to enhance the security of U.S. ground forces in dynamic operational environments.
What it does
Our toolkit empowers commander workforces with real-time sensor data feedback, enabling agile action planning based on environmental cues and historical trends, ultimately optimizing drone deployment strategies through platforms like Radiant.
We streamline operations by automating equipment and facility monitoring, access control, and asset tracking, freeing up staff resources.
Comprehensive Sensor Data Management
- Planning, deployment, monitoring, and response to sensor data. Affordable Sensor Accessibility -Ensuring cheap sensors reach those who require them, along with the necessary technology stack for data processing. Versatile Sensor Applications
- Tracking various data types such as audio, seismic, RF signals, and more to fight offensive drones
Why this is helpful
For commander workforces, we enable:
- Efficient Resource Allocation: Automates equipment and system monitoring, access control, and asset tracking.
- Enhanced Productivity: Frees up staff members to concentrate on strategic or specialized tasks.
- Improved Operational Effectiveness: Ensures greater accuracy and consistency in critical areas.
How we built it
Software
- MQTT: Lightweight messaging protocol for communication between IoT devices and the processing system.
- Redis: In-memory data structure store used as a message broker for queueing MQTT messages.
- Python: Programming language used for developing the message processing workers.
- PostgreSQL: Open source relational database used for storing IoT sensor data.
- Robust Random Cut Forests (RRCF): Anomaly detection algorithm used for calculating timeseries anomaly scores.
- Grafana: Open source analytics and monitoring platform used for reporting and visualizations.
- Docker: Containerization platform used for deploying the demo environment.
- Docker Compose: Tool for defining and running multi-container Docker applications.
Challenges we ran into at SenseIntel
Accomplishments that we're proud of
What we learned
What's next for SenseIntel
Link to Presentation -
Try it out -
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Sense Intel
Built With
- arduino
- c
- grafana
- lora
- postgresql
- python
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