Application notes
In-depth technical guides for real-world Particle applications
![Gen 4 devices hero mobile]()
Power optimization strategies for Generation 4 Devices
Build robust applications using Particle's Gen 4 devices without compromising on energy efficiency.
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![Edge Impulse training data acquisition over LTE with Particle]()
Training data acquisition over LTE
Use an LTE-enabled module to remotely gather training data for an AI model.
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![AI system controller with Raspberry Pi, M-HAT, and Particle Ledger]()
AI system controller with M-HAT and Particle Ledger
Configure a system that you can operate with your voice.
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![Creating an inventory management system with Particle]()
Creating an inventory management system
Keep track of stock levels using a Particle M-SoM with a custom carrier PCB.
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![Flockr: An LTE-enabled smart bird feeder]()
Identifying birds with an LTE-enabled smart feeder
Flockr can classify the species of bird from a video feed without Wi-Fi access.
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![Reprogramming a Raspberry Pi with Particle’s Asset OTA]()
Reprogramming a Raspberry Pi with Asset OTA and a B504e
Perform a remote software update on a Raspberry Pi over LTE.
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![Reduce on-site support costs by logging data with Particle’s Device Ledger]()
Logging data with Ledger
Gain remote access to detailed logging and device metadata for faster troubleshooting.
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![The M-HAT: More than just a cellular modem for Linux devices]()
Cellular modem for Linux devices
For remote deployments where Wi-Fi isn’t available.
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![Building a regression model for non-linear systems with Particle and Edge Impulse]()
Building a regression model
Developed with Edge Impulse to compensate for a system’s drift.
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