IR Sensor Reading Optimization

Hello @Athena,

I would appreciate your review of the following JavaScript code within the ARC environment. The script is designed to process infrared (IR) sensor readings, which can vary significantly due to sensor noise. My objective is to obtain a reliable result, finalLowIR, that only changes when the last three samples are consistent.

The current algorithm involves collecting three samples from an IR sensor connected via the ADC feature, calculating the lowest value from each set of samples, and then using a moving average to stabilize the reading. The final variable finalLowIR is adjusted to limit variability.

//$IRSAMPLE consists of three sample IR readings.
//lowIR is identified as the lowest of the three $IRSAMPLE readings.
//totLowIR aggregates the sum of three lowIR readings.
//avgLowIR is calculated as ((totLowIR * 1000)/3).
//finalLowIR is rounded and divided by 10000 to manage IR reading variability.

while(true) {
    var totLowIR = 0;
    var avgLowIR = 0;

    for(var count1 = 0; count1 < 3; count1++) { // Loop for 3 samples
        var lowIR = 300;
        
        for (var count = 0; count < 3; count++) { // Capture individual samples
            setVar("$IRSAMPLE", ADC.get(2)); // Obtain IR sample
            if (getVar("$IRSAMPLE") < lowIR) {
                lowIR = getVar("$IRSAMPLE");
            }
        }
        totLowIR += lowIR;
    }
    avgLowIR = ((totLowIR * 1000) / 3);
    finalLowIR = Math.round(avgLowIR / 10000);
    
    setVar("$IRADC", finalLowIR); // Store the final reading
    sleep(100); // Pause the loop for 100ms
}

Could you provide feedback or suggestions for a more efficient script in this context? Your expertise would be greatly appreciated.

Thank you,
Jack