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This component implements privacy-preserving motion detection using Wi-Fi Channel State Information (CSI) analysis, inspired by the ESPectre project. Features: - CSI-based motion detection without cameras or microphones - Binary sensor for motion state (IDLE/MOTION) - Multiple feature sensors (variance, amplitude, entropy, skewness) - Configurable thresholds and sensitivity - ESP32-S3 with ESP-IDF framework support only Components: - Core component with CSI capture and analysis - Binary sensor platform for motion detection - Sensor platform for CSI feature extraction - Comprehensive test configuration - Full documentation with usage examples The component uses Moving Variance Segmentation algorithm to detect motion by analyzing variations in Wi-Fi signal propagation patterns. Perfect for smart home automation, occupancy detection, and privacy-conscious security applications.
Tests for ESPHome
This directory contains some tests for ESPHome.
At the moment, all the tests only work by simply executing
esphome over some YAML files that are made to test
whether the yaml gets converted to the proper C++ code.
Of course this is all just very high-level and things like unit tests would be much better. So if you have time and know how to set up a unit testing framework for python, please do give it a try.
When adding entries in test_.yaml files we usually need only
one file updated, unless conflicting code is generated for
different configurations, e.g. wifi and ethernet cannot
be tested on the same device.
Current test_.yaml file contents.
| Test name | Platform | Network | BLE |
|---|---|---|---|
| test1.yaml | ESP32 | wifi | None |
| test2.yaml | ESP32 | ethernet | esp32_ble_tracker |
| test3.yaml | ESP8266 | wifi | N/A |
| test4.yaml | ESP32 | ethernet | None |
| test5.yaml | ESP32 | wifi | ble_server |
| test6.yaml | RP2040 | wifi | N/A |
| test7.yaml | ESP32-C3 | wifi | N/A |
| test8.yaml | ESP32-S3 | wifi | None |
| test10.yaml | ESP32 | wifi | None |