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Background
Edge Impulse
Home Assistant
Read moreWe have two cats in the office, but one of them always runs out when no one is paying attention. Sometimes after get off work, neighbors will tell us that our cat is locked outside.
And here is the final result
At first you need train your model at Edge Impulse with your own cat. Maybe you want do follow this project.
https://www.hackster.io/mjrobot/tinyml-made-easy-image-classification-w-xiao-esp32s3-sense-cb42ae
Platformiocreate a project and import the arduino library made by Edge Impulse.(I also change the library name to edgeimpulse)
change the pin define to XIAO ESP32S3
add pubsubclient to lib_deps to use mqtt
add these to configuration.yaml
# Example configuration.yaml entry
mqtt:
- binary_sensor:
name: "Hulu Detect Sensor"
state_topic: "home-assistant/sensor/huluDetect/getCat"
payload_on: "Yes"
payload_off: "No"
availability:
- topic: "home-assistant/sensor/huluDetect/availability"
payload_available: "online"
payload_not_available: "offline"
qos: 0
device_class: opening
value_template: "{{ value_json.state }}"
and these to automations.yaml
trigger:
platform: state
entity_id: binary_sensor.hulu_detect_sensor
to: "on"
action:
service: notify.mobile_app_wang_jian_wei_de_iphone13
data:
message: "葫芦跑了 | hulu escaped freom prison"
EMQXinstall emqx and mqtt integration
/* Edge Impulse Arduino examples
* Copyright (c) 2022 EdgeImpulse Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
/* Includes ---------------------------------------------------------------- */
#include <PubSubClient.h>
#include <WiFi.h>
#include <cat_recognize_inferencing.h>
#include "edge-impulse-sdk/dsp/image/image.hpp"
#include "esp_camera.h"
// Select camera model - find more camera models in camera_pins.h file here
// https://github.com/espressif/arduino-esp32/blob/master/libraries/ESP32/examples/Camera/CameraWebServer/camera_pins.h
// #define CAMERA_MODEL_ESP_EYE // Has PSRAM
#define CAMERA_MODEL_XIAO_ESP32S3 // Has PSRAM
// #define CAMERA_MODEL_AI_THINKER // Has PSRAM
#if defined(CAMERA_MODEL_ESP_EYE)
#define PWDN_GPIO_NUM -1
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 4
#define SIOD_GPIO_NUM 18
#define SIOC_GPIO_NUM 23
#define Y9_GPIO_NUM 36
#define Y8_GPIO_NUM 37
#define Y7_GPIO_NUM 38
#define Y6_GPIO_NUM 39
#define Y5_GPIO_NUM 35
#define Y4_GPIO_NUM 14
#define Y3_GPIO_NUM 13
#define Y2_GPIO_NUM 34
#define VSYNC_GPIO_NUM 5
#define HREF_GPIO_NUM 27
#define PCLK_GPIO_NUM 25
#elif defined(CAMERA_MODEL_XIAO_ESP32S3)
#define PWDN_GPIO_NUM -1
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 10
#define SIOD_GPIO_NUM 40
#define SIOC_GPIO_NUM 39
#define Y9_GPIO_NUM 48
#define Y8_GPIO_NUM 11
#define Y7_GPIO_NUM 12
#define Y6_GPIO_NUM 14
#define Y5_GPIO_NUM 16
#define Y4_GPIO_NUM 18
#define Y3_GPIO_NUM 17
#define Y2_GPIO_NUM 15
#define VSYNC_GPIO_NUM 38
#define HREF_GPIO_NUM 47
#define PCLK_GPIO_NUM 13
#elif defined(CAMERA_MODEL_AI_THINKER)
#define PWDN_GPIO_NUM 32
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 0
#define SIOD_GPIO_NUM 26
#define SIOC_GPIO_NUM 27
#define Y9_GPIO_NUM 35
#define Y8_GPIO_NUM 34
#define Y7_GPIO_NUM 39
#define Y6_GPIO_NUM 36
#define Y5_GPIO_NUM 21
#define Y4_GPIO_NUM 19
#define Y3_GPIO_NUM 18
#define Y2_GPIO_NUM 5
#define VSYNC_GPIO_NUM 25
#define HREF_GPIO_NUM 23
#define PCLK_GPIO_NUM 22
#else
#error "Camera model not selected"
#endif
/* Constant defines -------------------------------------------------------- */
#define EI_CAMERA_RAW_FRAME_BUFFER_COLS 320
#define EI_CAMERA_RAW_FRAME_BUFFER_ROWS 240
#define EI_CAMERA_FRAME_BYTE_SIZE 3
/* Private variables ------------------------------------------------------- */
static bool debug_nn = false; // Set this to true to see e.g. features generated from the raw signal
static bool is_initialised = false;
uint8_t *snapshot_buf; // points to the output of the capture
static camera_config_t camera_config = {
.pin_pwdn = PWDN_GPIO_NUM,
.pin_reset = RESET_GPIO_NUM,
.pin_xclk = XCLK_GPIO_NUM,
.pin_sscb_sda = SIOD_GPIO_NUM,
.pin_sscb_scl = SIOC_GPIO_NUM,
.pin_d7 = Y9_GPIO_NUM,
.pin_d6 = Y8_GPIO_NUM,
.pin_d5 = Y7_GPIO_NUM,
.pin_d4 = Y6_GPIO_NUM,
.pin_d3 = Y5_GPIO_NUM,
.pin_d2 = Y4_GPIO_NUM,
.pin_d1 = Y3_GPIO_NUM,
.pin_d0 = Y2_GPIO_NUM,
.pin_vsync = VSYNC_GPIO_NUM,
.pin_href = HREF_GPIO_NUM,
.pin_pclk = PCLK_GPIO_NUM,
// XCLK 20MHz or 10MHz for OV2640 double FPS (Experimental)
.xclk_freq_hz = 20000000,
.ledc_timer = LEDC_TIMER_0,
.ledc_channel = LEDC_CHANNEL_0,
.pixel_format = PIXFORMAT_JPEG, // YUV422,GRAYSCALE,RGB565,JPEG
.frame_size = FRAMESIZE_QVGA, // QQVGA-UXGA Do not use sizes above QVGA when not JPEG
.jpeg_quality = 12, // 0-63 lower number means higher quality
.fb_count = 1, // if more than one, i2s runs in continuous mode. Use only with JPEG
.fb_location = CAMERA_FB_IN_PSRAM,
.grab_mode = CAMERA_GRAB_WHEN_EMPTY,
};
const char *ssid = "xxxx";
const char *password = "xxxx";
const char *mqtt_server = "192.168.1.71";
WiFiClient espClient;
PubSubClient client(espClient);
unsigned long lastMsg = 0;
#define MSG_BUFFER_SIZE (50)
char msg[MSG_BUFFER_SIZE];
int value = 0;
bool last_state = false;
/* Function definitions ------------------------------------------------------- */
bool ei_camera_init(void);
void ei_camera_deinit(void);
bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf);
static int ei_camera_get_data(size_t offset, size_t length, float *out_ptr);
void mqtt_callback(char *topic, byte *payload, unsigned int length);
void mqtt_reconnect();
/**
* @brief Arduino setup function
*/
void setup() {
// put your setup code here, to run once:
Serial.begin(115200);
// comment out the below line to start inference immediately after upload
while (!Serial)
;
Serial.println("Edge Impulse Inferencing Demo");
if (ei_camera_init() == false) {
ei_printf("Failed to initialize Camera!\r\n");
} else {
ei_printf("Camera initialized\r\n");
}
ei_printf("\nStarting continious inference in 2 seconds...\n");
ei_sleep(2000);
// MQTT
WiFi.mode(WIFI_STA);
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(500);
Serial.print(".");
}
client.setServer(mqtt_server, 1883);
client.setCallback(mqtt_callback);
}
/**
* @brief Get data and run inferencing
*
* @param[in] debug Get debug info if true
*/
void loop() {
// instead of wait_ms, we'll wait on the signal, this allows threads to cancel us...
if (ei_sleep(5) != EI_IMPULSE_OK) {
return;
}
snapshot_buf = (uint8_t *)malloc(EI_CAMERA_RAW_FRAME_BUFFER_COLS * EI_CAMERA_RAW_FRAME_BUFFER_ROWS * EI_CAMERA_FRAME_BYTE_SIZE);
// check if allocation was successful
if (snapshot_buf == nullptr) {
ei_printf("ERR: Failed to allocate snapshot buffer!\n");
return;
}
ei::signal_t signal;
signal.total_length = EI_CLASSIFIER_INPUT_WIDTH * EI_CLASSIFIER_INPUT_HEIGHT;
signal.get_data = &ei_camera_get_data;
if (ei_camera_capture((size_t)EI_CLASSIFIER_INPUT_WIDTH, (size_t)EI_CLASSIFIER_INPUT_HEIGHT, snapshot_buf) == false) {
ei_printf("Failed to capture image\r\n");
free(snapshot_buf);
return;
}
// Run the classifier
ei_impulse_result_t result = {0};
EI_IMPULSE_ERROR err = run_classifier(&signal, &result, debug_nn);
if (err != EI_IMPULSE_OK) {
ei_printf("ERR: Failed to run classifier (%d)\n", err);
return;
}
// print the predictions
ei_printf("Predictions (DSP: %d ms., Classification: %d ms., Anomaly: %d ms.): \n",
result.timing.dsp, result.timing.classification, result.timing.anomaly);
#if EI_CLASSIFIER_OBJECT_DETECTION == 1
bool bb_found = result.bounding_boxes[0].value > 0;
for (size_t ix = 0; ix < result.bounding_boxes_count; ix++) {
auto bb = result.bounding_boxes[ix];
if (bb.value == 0) {
continue;
}
ei_printf(" %s (%f) [ x: %u, y: %u, width: %u, height: %u ]\n", bb.label, bb.value, bb.x, bb.y, bb.width, bb.height);
if (last_state != bb_found) {
client.publish("home-assistant/sensor/huluDetect/getCat", "Yes");
last_state = bb_found;
}
}
if (!bb_found) {
ei_printf(" No objects found\n");
if (last_state != bb_found) {
client.publish("home-assistant/sensor/huluDetect/getCat", "No");
last_state = bb_found;
}
}
#else
for (size_t ix = 0; ix < EI_CLASSIFIER_LABEL_COUNT; ix++) {
ei_printf(" %s: %.5f\n", result.classification[ix].label,
result.classification[ix].value);
}
#endif
#if EI_CLASSIFIER_HAS_ANOMALY == 1
ei_printf(" anomaly score: %.3f\n", result.anomaly);
#endif
free(snapshot_buf);
if (!client.connected()) {
mqtt_reconnect();
}
client.loop();
}
/**
* @brief Setup image sensor & start streaming
*
* @retval false if initialisation failed
*/
bool ei_camera_init(void) {
if (is_initialised) return true;
#if defined(CAMERA_MODEL_ESP_EYE)
pinMode(13, INPUT_PULLUP);
pinMode(14, INPUT_PULLUP);
#endif
// initialize the camera
esp_err_t err = esp_camera_init(&camera_config);
if (err != ESP_OK) {
Serial.printf("Camera init failed with error 0x%x\n", err);
return false;
}
sensor_t *s = esp_camera_sensor_get();
// initial sensors are flipped vertically and colors are a bit saturated
if (s->id.PID == OV3660_PID) {
s->set_vflip(s, 1); // flip it back
s->set_brightness(s, 1); // up the brightness just a bit
s->set_saturation(s, 0); // lower the saturation
}
#if defined(CAMERA_MODEL_M5STACK_WIDE)
s->set_vflip(s, 1);
s->set_hmirror(s, 1);
#elif defined(CAMERA_MODEL_ESP_EYE)
s->set_vflip(s, 1);
s->set_hmirror(s, 1);
s->set_awb_gain(s, 1);
#elif defined(CAMERA_MODEL_XIAO_ESP32S3)
s->set_vflip(s, 1);
s->set_hmirror(s, 1);
s->set_awb_gain(s, 1);
#endif
is_initialised = true;
return true;
}
/**
* @brief Stop streaming of sensor data
*/
void ei_camera_deinit(void) {
// deinitialize the camera
esp_err_t err = esp_camera_deinit();
if (err != ESP_OK) {
ei_printf("Camera deinit failed\n");
return;
}
is_initialised = false;
return;
}
/**
* @brief Capture, rescale and crop image
*
* @param[in] img_width width of output image
* @param[in] img_height height of output image
* @param[in] out_buf pointer to store output image, NULL may be used
* if ei_camera_frame_buffer is to be used for capture and resize/cropping.
*
* @retval false if not initialised, image captured, rescaled or cropped failed
*
*/
bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf) {
bool do_resize = false;
if (!is_initialised) {
ei_printf("ERR: Camera is not initialized\r\n");
return false;
}
camera_fb_t *fb = esp_camera_fb_get();
if (!fb) {
ei_printf("Camera capture failed\n");
return false;
}
bool converted = fmt2rgb888(fb->buf, fb->len, PIXFORMAT_JPEG, snapshot_buf);
esp_camera_fb_return(fb);
if (!converted) {
ei_printf("Conversion failed\n");
return false;
}
if ((img_width != EI_CAMERA_RAW_FRAME_BUFFER_COLS) || (img_height != EI_CAMERA_RAW_FRAME_BUFFER_ROWS)) {
do_resize = true;
}
if (do_resize) {
ei::image::processing::crop_and_interpolate_rgb888(
out_buf,
EI_CAMERA_RAW_FRAME_BUFFER_COLS,
EI_CAMERA_RAW_FRAME_BUFFER_ROWS,
out_buf,
img_width,
img_height);
}
return true;
}
static int ei_camera_get_data(size_t offset, size_t length, float *out_ptr) {
// we already have a RGB888 buffer, so recalculate offset into pixel index
size_t pixel_ix = offset * 3;
size_t pixels_left = length;
size_t out_ptr_ix = 0;
while (pixels_left != 0) {
out_ptr[out_ptr_ix] = (snapshot_buf[pixel_ix] << 16) + (snapshot_buf[pixel_ix + 1] << 8) + snapshot_buf[pixel_ix + 2];
// go to the next pixel
out_ptr_ix++;
pixel_ix += 3;
pixels_left--;
}
// and done!
return 0;
}
#if !defined(EI_CLASSIFIER_SENSOR) || EI_CLASSIFIER_SENSOR != EI_CLASSIFIER_SENSOR_CAMERA
#error "Invalid model for current sensor"
#endif
void mqtt_callback(char *topic, byte *payload, unsigned int length) {
Serial.print("Message arrived [");
Serial.print(topic);
Serial.print("] ");
for (int i = 0; i < length; i++) {
Serial.print((char)payload[i]);
}
Serial.println();
// Switch on the LED if an 1 was received as first character
if ((char)payload[0] == '1') {
digitalWrite(BUILTIN_LED, LOW); // Turn the LED on (Note that LOW is the voltage level
// but actually the LED is on; this is because
// it is active low on the ESP-01)
} else {
digitalWrite(BUILTIN_LED, HIGH); // Turn the LED off by making the voltage HIGH
}
}
void mqtt_reconnect() {
// Loop until we're reconnected
while (!client.connected()) {
Serial.print("Attempting MQTT connection...");
// Create a random client ID
String clientId = "XIAO_ESP32S3";
clientId += String(random(0xffff), HEX);
// Attempt to connect
if (client.connect(clientId.c_str(), "xxxx", "xxxx")) {
Serial.println("connected");
// Once connected, publish an announcement...
client.publish("home-assistant/sensor/huluDetect/availability", "online");
// ... and resubscribe
// client.subscribe("inTopic");
} else {
Serial.print("failed, rc=");
Serial.print(client.state());
Serial.println(" try again in 5 seconds");
// Wait 5 seconds before retrying
delay(5000);
}
}
}
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