Computing Architecture
Squishy Robotics Computing Architecture
Our distributed computing architecture blends edge computing and data fusion to support data-informed decisions in real-time with the ability to create mesh networks. Cloud computing and machine learning will improve our data analytics over time.
Sensor Fusion
Squishy Robots’ data can be merged with data from installed sensors to improve overall situation awareness
AI/Machine Learning
Improve data analytics and optimal sensor placement with artificial intelligence and machine learning algorithms
Mesh Capability
Sensors can be rapidly deployed to create local communication networks
Drone Multiplier
Communicates persistent ground-level sensor data from multiple sources that complement aerial data from a single drone
Customizable Sensor Platform
Payloads can be customized to include alternate sensors, communication devices or 3rd party hardware
Data in real-time
Data when and where you need it to make informed decisions