AirQfy Fear Not the Particulates

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provided the required input and output peripherals. Figure 3 shows the final hardware setup ofthe sensors.Figure 3 Ultrasound sensor (HC-SR04) setup while testingThe sensors were programmed in a way that they only registered a person entering or leaving ifhe passed both sensors within a specific timeframe. This helped improving accuracy andreduced wrong measurements. The Arduino code for the ultrasound sensors can be found inthe appendix. The ultrasound sensor setup was able to register the direction of movement forobjects with an acceptable accuracy. This was tested by setting up the sensors on a table whilepushing a toy car through the ultrasound gate. Even with varying vehicle speed, the accuracydid not drop below a critical level.However, when using the sensors to determine the direction of movement of people, the systemaccuracy significantly dropped. Even after extensive tuning and some modifications, theaccuracy could not be improved to provide a sufficient performance (on average success ratewas 60%). It is assumed that this was due to the combination of several reasons. First, thedistance between the sensors and the moving object was now greater than with the toy car.Additionally, the reflectivity, the shape and the movement of the people created unwantedreflections that were interpreted in the wrong way by the sensors. This led to wrongmeasurements. As a result the ultrasound sensors were replaced by TOF (time of flight)sensors. It is expected that these sensors provide better performance because they have aharrower beam and they use a different frequency in the electromagnetic spectrum.10
Creating and Demonstrating the SolutionSensorsTime of Flight sensor VL53L0XFigure 4 Time of Flight sensor (VL53L0X)Figure 5 Illustration of sensor shape and set up.11
Page 1 and 2: AirQfyFear Not the ParticulatesTeam
Page 3 and 4: Bibliography ......................
Page 5 and 6: systems lacking in capability to pr
Page 7 and 8: Design BriefProblemThe problem is t
Page 9: sensors would only need to be used
Page 13 and 14: Table 2 Consumption at ambient temp
Page 15 and 16: Air quality sensor Grove v1.3Figure
Page 17 and 18: Figure 12 Arduino board connected t
Page 19 and 20: Figure 14 The final UI for AirQfyIB
Page 21 and 22: Data CollectionData Collection came
Page 23 and 24: The plot above illustrates all thre
Page 25 and 26: Figure 23 MSE error ratesMSE result
Page 27 and 28: The resulting outcome is a hysteres
Page 29 and 30: EvaluatingTesting methods• Air qu
Page 31 and 32: int led_onboard = 13;int threshold_
Page 33 and 34: Serial.println("Gate 1 -> Gate 2");
Page 35 and 36: // delay(1000);//person moves at 1-
Page 37 and 38: int minutes = 3;int hours = 15;int
Page 39: dataString += String(minutes);dataS

AirQfy Fear Not the Particulates

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