Cricket Shot Recognition using Arduino UNO एक R4 Wi-Fi, ADXL345 and Edge Impulse.

1#include <Wire.h> 
2#include <Adafruit_ADXL345_Unified.h> 
3#include <your_project_inference.h> // Replace with Edge Impulse 
4header 
5Adafruit_ADXL345_Unified accel = 
6Adafruit_ADXL345_Unified(12345); 
7static bool debug_nn = false; 
8void setup() { 
9Serial.begin(115200); 
10while (!Serial) {} 
11if (!accel.begin()) { 
12Serial.println("ERROR: ADXL345 not detected"); 
13while (1); 
14} 
15accel.setRange(ADXL345_RANGE_4_G); 
16} 
17void loop() { 
18float buffer[EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE] = {0}; 
19for (size_t ix = 0; ix < EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE; ix += 
203) { 
21uint64_t next_tick = micros() + (EI_CLASSIFIER_INTERVAL_MS * 
221000); 
23sensors_event_t e; 
24accel.getEvent(&e); 
25buffer[ix + 0] = e.acceleration.x; 
26buffer[ix + 1] = e.acceleration.y; 
27buffer[ix + 2] = e.acceleration.z; 
28int32_t wait = (int32_t)(next_tick - micros()); 
29if (wait > 0) delayMicroseconds(wait); 
30} 
31signal_t signal; 
32int err = numpy::signal_from_buffer(buffer, 
33EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE, &signal); 
34if (err != 0) return; 
35ei_impulse_result_t result = {0}; 
36EI_IMPULSE_ERROR res = run_classifier(&signal, &result, 
37debug_nn); 
38if (res != EI_IMPULSE_OK) return; 
39for (size_t ix = 0; ix < EI_CLASSIFIER_LABEL_COUNT; ix++) { 
40ei_printf("%s: %.3f ", result.classification[ix].label, 
41result.classification[ix].value); 
42} 
43#if EI_CLASSIFIER_HAS_ANOMALY == 1 
44ei_printf("anomaly: %.3f", result.anomaly); 
45#endif 
46ei_printf("\n"); 
47}