Pixels to Predictions: Building High-Performance Edge AI Pipelines with CameraX and TFLite

Short summary

A technical deep-dive into building production-grade edge AI pipelines on Android using CameraX and TFLite. Covers backpressure strategies (STRATEGY_KEEP_ONLY_LATEST), zero-copy data movement from camera sensor to NPU/GPU, and choosing the right hardware acceleration delegate. Includes practical guidance on thermal management and frame rate optimization for real-time ML inference.

• •Explains CameraX-to-TFLite pipeline architecture with backpressure and zero-copy strategies
• •Compares GPU, DSP, and NPU delegates for different model types and use cases
• •Provides actionable guidance on avoiding the 'Edge AI Wall' of UI stutter and thermal throttling

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