iot

NanoTDB is a small embedded append-only time series database for resource-constrained hosts, written in Go, with no runtime dependencies. It uses a WAL and partitioned data files, supports line protocol ingestion, and provides efficient time-range queries.

Dywave is a dynamic tokenization framework for IoT sensing signals that uses wavelet-based hierarchical decomposition to align tokens with semantic events, achieving up to 12% higher accuracy and 75% reduction in input token length on five real-world datasets.

OVMS is an open-source system for remote monitoring, diagnosis, and control of electric vehicles, offering live metrics, alerts, and control via phone apps and web.

The open-source project RuView leverages Wi-Fi signals and AI technology to achieve camera-free through-wall sensing, capable of real-time human pose recognition, breathing monitoring, and fall detection. It has garnered significant attention on GitHub. Emphasizing privacy and security, the project processes all data locally, supporting easy deployment via ESP32 or Docker.

The paper introduces MIST, a synthetic dataset and framework for training multimodal voice assistants to control IoT devices in smart homes. It highlights significant performance gaps between open and closed-weight models in handling complex, speech-based tool-calling tasks.

Meshtastic is an open-source project that uses inexpensive LoRa radios to create a decentralized, long-range off-grid mesh communication network, supporting encrypted text messaging and GPS features without requiring a phone or licensed radio operator.

The article details the development and viral success of 'Transit Tracker,' an open-source DIY project for creating custom public transit arrival boards using ESPHome and LED matrices.