How to improve the detection accuracy of ITR8307

1, Signal modulation and demodulation
Principle: By modulating the signal transmission and demodulation reception of ITR8307, the detection distance can be increased and the detection accuracy can be improved. This helps to reduce the impact of external interference on the detection signal, enabling the sensor to more accurately detect the reflected signal of the target object. In some application scenarios, such as beacon light detection in smart car competitions, this method can improve the reliability of detection while reducing the impact of ambient light.
2, Environmental light filtering
(1) Control the sampling time interval
Method: Reasonably set the conversion time of the two ADCs (analog-to-digital conversion) before and after. For example, when conducting experiments using ESP8266, it was found that when the ADC conversion time of two adjacent times is an integer multiple of 10ms, the influence of ambient light on the output signal of the photoelectric cell can be suppressed. If the conversion time is not set properly, such as changing the conversion time of the two ADCs before and after to 5ms, the corresponding numerical fluctuations will greatly increase, affecting the detection accuracy.
(2) Sampling during interrupts
Operation: ADC sampling is performed using interrupt sampling during program execution. Compared to ADC sampling in program loops, ADC sampling also generates a certain amount of time, and the time interval corresponding to the loop may not be an accurate multiple. Interrupted sampling can better control the sampling timing, reduce errors caused by inaccurate sampling time, and thus improve detection accuracy.
3, In terms of circuit design
Combining ITR8307 with LM393 to form a photoelectric detection circuit: Combining ITR8307 with LM393 to form a photoelectric detection circuit, the output to the RA0 port of the microcontroller has a better effect, and the accuracy can be adjusted according to the length of the wire, thereby improving the detection accuracy by 6.
4, Increase the strength of the reflected signal
Target object surface treatment: By processing the surface of the target object to increase the intensity of the reflected signal. For example, in the smart car competition, in order to make it easier for the car model to be detected when passing through the beacon lampshade, white or red paper can be pasted on the chassis of the car model. This can further increase the intensity of the reflected signal, making the photoelectric detection more sensitive and indirectly improving the detection accuracy