High-speed smart computer vision board with dual-core RISC-V K210 processor, MIPI camera, and YOLO object classifier.
Hardware KPU processes neural vision pipelines at 60 FPS without overloading the main CPU.
View live camera feed and detection bounding boxes directly inside the EltroNerd Cloud IDE console.
Automatic IR-Cut filter switching for 24/7 security monitoring and license plate capture.
// EltroNerd VisionAI-Cam Object Detection Sample
#include <K210_Vision.h>
CameraSensor cam;
KPU_ObjectClassifier kpu;
void setup() {
Serial.begin(115200);
Serial.println("[EltroNerd] VisionAI-Cam Initializing...");
cam.begin(OV5640, RESOLUTION_VGA);
kpu.loadModel("yolov8_tiny_quant.kmodel");
Serial.println("Camera CSI Engine Active @ 60 FPS");
}
void loop() {
Image frame = cam.capture();
DetectionResult res = kpu.run(frame);
if (res.count > 0) {
Serial.printf("Detected %s [Confidence: %.2f%%]\n", res.label, res.confidence * 100);
}
}Flash firmware directly from browser over WebUSB with zero driver installation.