Edge Neural Processing Unit (NPU) board for micro-speech recognition, audio keyword spotting & vibration anomaly detection.
Executes INT8 quantized Convolutional Neural Networks (CNNs) with microsecond latency.
Deploy pre-trained models from TensorFlow, PyTorch, or Edge Impulse with zero code rewrite.
Includes an on-board 6-axis IMU accelerometer and digital PDM microphone for instant predictive maintenance.
// EltroNerd AI-Tensor Edge Inference Loop
#include <TensorFlowLite_ESP32.h>
#include "tensorflow/lite/micro/all_ops_resolver.h"
#include "tensorflow/lite/micro/micro_interpreter.h"
// Model tensor arena
const int kTensorArenaSize = 60 * 1024;
uint8_t tensor_arena[kTensorArenaSize];
void setup() {
Serial.begin(115200);
Serial.println("[EltroNerd] AI-Tensor NPU Initializing...");
static tflite::MicroErrorReporter micro_error_reporter;
static tflite::AllOpsResolver resolver;
Serial.println("NPU Model Loaded: Predictive Vibration Classifier");
Serial.println("Inference Ready: < 1.8ms Target Latency");
}
void loop() {
// Execute real-time NPU tensor inference
delay(100);
}Flash firmware directly from browser over WebUSB with zero driver installation.