Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 41 | Noise-to-Color Visualizer (NCV) Device |
Han Young Kim Hyun Soo Kim |
Kexin Hui | design_document0.pdf final_paper0.pdf other0.pdf presentation0.pdf proposal0.pdf |
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| UPDATED: Problem Often, we are very subjective about the noise level around us. When we are involved in conversation, we often ignore that the fact we are making noise that disturbs the people around us. Even with a lot of people talking, some people say its ok while some say the place is very noisy. I believe it’s just too difficult to be neutral to judge the level of noise. It would be easy to visualize the noise with a color level so that when we tell our friends about the noise level at certain place, it would give them clear image of how quiet/noisy the place is. Objective Our project is to design a device that visualize the noise level by classifying the noise levels into four to five different color: Red, Yellow, Green, Blue, and Purple. (Red being the loudest and purple being the quietest) By interpreting the decibel into a simple color, we can clearly see that the noise we or others are making is loud or acceptable. With this device, people cannot be selfish and subjective about the noise level because the device will tell them it’s loud so “you need to keep it down a lot more!” What we will be using 1. Four MEMS Microphone or omnidirectional microphone We will be using MEMS microphone to collect the noise level of the surrounding. To be accurate, we will use 4 MEMS microphone or omni-directional microphone to collect noise sample from 4 different directions in respective to the user. By taking the mean of the 4 signals, we can estimate more sense of how much decibel we are getting from omni-direction. 2. Band Pass Filter (Hardware Design) When we think the surrounding is noisy, it indicates that the intensity of sound of human perceptible frequency is very large. Thus, we would want to implement bandpass filter, which we will be implementing through analog circuit, to sort out the frequency range between 20 Hz – 20 kHz, the human perception of hearing range. After then, we will pass this signal to the Microcontroller. 3. Microcontroller ( ATMEGA 328P) The desired specifications of the microcontroller we would like to use are Analog-to-Digital Converter embedded and the functionality of FFT within the Microcontroller. Considering these aspect, we are thinking to use ATEMGA 328P, which enables both of the functionalities. After getting the range of frequency to analyze, we will be implementing the following algorithm (tentatively we wrote pseudo code as below) Switch(x = noise level) Case1 (x >= 110 dB) return Color Red Case2 (x > 90dB && x < 110 dB) return Color Blue’’ So on….. until it reaches Case5 (x <= 10 dB) return Color Purple As professor pointed out, we are going to use 5 out of 6 that LilyPad LEDs possess because one of the LEDs can be used as an indicator for whether the power is on/off. If we want to be more specific about the range of noise level, it would be good idea to use all 6 of them. For reference, 110 is the sound that can be made by the motorcycle or chainsaw. After microcontroller decides which color to pass on, it will send to RGB LED Display. Below is the link that helps understand the real-life examples of noise level corresponding to certain decibel. http://cdn2.hubspot.net/hub/127355/file-16900248-jpg/images/noise-levels.jpg 4. LED Panel This LED Panel is used to display the color decided by Microcontroller. We are currently thinking of using LilyPad Rainbow LED which supports 6 different colors. 5. Power We were able to narrow down the option with the power supply of the device either one of these a. 5 V Lithium Battery = Planning on Analog Design = In this case, we would have to implement a power protection circuit for safety. The drawback would be there is a battery life span. b. Power Supply from the wall outlet (120V) = Planning on Analog Design = In this case, we would want to build a AC-to-DC converter for supply power to the microcontroller we would be using and LEDs as well as the microphones as corresponding voltage and currents allowed. We are preferring using this because its stable and don't need to worry about battery span. Practical Application The potential application of this device would be used to gauge the noise level of certain places as cafe, library, and places where the noise level has to be controlled. This device would help people to quickly notice the noise is going over the limit rather than the device that merely shows the numeric level of noise (dB). |
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