EDGE AI
PROTOTYPE
Intelligence at the edge
Problem
Cloud dependence can introduce connectivity and data-transfer constraints.
Hypothesis
Selected perception workloads can run close to the sensor.
Approach
Evaluate local vision pipelines in controlled classroom settings.
Architecture
Camera → local inference → aggregate indicators
Experiment
Observe behavior under changing illumination, occlusion and device load.
Result
The Vision 2042 prototype explores this processing model. A published benchmark is not available.
Limitations
Results depend on hardware and observation conditions; classroom signals remain estimates.
Next steps
Document repeatable evaluation and uncertainty.