Articles and updates from Orbita

11 September 2026

MLOps for edge AI: how to version, deploy and monitor machine learning models directly on industrial edge devices, with safe rollback.

by Nico Monaco

07 September 2026

Edge AI quantization and pruning: shrink model size and cut inference latency for embedded deployment without sacrificing accuracy.

by Nico Monaco

19 August 2026

Circuit board sampling automation cuts characterization error and boosts the recoverable value hidden in electronic waste streams.

by Luca Monaco

10 August 2026

Industrial federated learning: how to train AI models on the factory floor without moving raw data, across frameworks, privacy and the edge.

by Nico Monaco

15 July 2026

Industrial TinyML: deploying AI models on ultra-low-power microcontrollers for predictive maintenance and quality control on the factory floor.

by Nico Monaco

03 July 2026

How a computer vision algorithm classifies e-waste in real time, boosting material purity and sorting speed on the line.

by Nico Monaco

26 June 2026

How SCARA robots integrated with AI and computer vision transform industrial pick-and-place: precision, adaptability and speed for modern production lines.

by Nico Monaco

21 June 2026

How to integrate Nvidia Jetson for industrial AI inference: hardware requirements, deployment patterns, and real-world edge computing use cases.

by Nico Monaco

28 May 2026

Computer vision for circuit boards: how deep learning models on edge AI hardware detect PCB defects and classify WEEE with precision.

by Nico Monaco

22 May 2026

Industrial edge AI: how distributed artificial intelligence is transforming factories in 2026, cutting latency, costs and cloud dependency.

by Nico Monaco

10 April 2026

A technical look at Edge and Cloud paradigms in WEEE processing. How Orbita combines cloud power with edge AI responsiveness.

by Nico Monaco