Comprehensive Design Review (CDR) Neptune. Team 16 February 29, Advisor: Professor Holcomb
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1 Comprehensive Design Review (CDR) Neptune Team 16 February 29, 2016 Computer 1 1
2 Team 16 Introduction Frankie Viscusi EE 16 - Team Manager Power System & PCB Design Hang Do EE 16 Alarm & Power System Scott Powell EE 16 Camera & Audio Analysis Faculty Advisor: Daniel Holcomb Computer 2 2
3 What is Neptune? Drowning Prevention and Pool Security System Uses a PIR sensor to detect movement in combination with audio analysis to detect splashes Alerts those nearby with audible alarm located poolside Contacts the person in charge by messaging MMS picture Computer 3 3
4 Block Diagram - Neptune Computation (Raspberry Pi 2) Sensing PIR Microphone Scott GPIO USB Signal Processing Rx Communication GPIO Alarm Tx Mobile Device Camera & Illumination CSI-2 Wifi Computer WIFI/ LTE 4 4
5 Scott Deliverables for CDR Analyze audio coming from the microphone and determine whether or not a splash occurs Capture a picture once both the motion is detected by PIR and an audio signal of a disturbance is received Determine the appropriate risk threshold based upon the PIR and microphone performance Activate the alarm once the risk threshold is exceeded Design a circuit that provides power efficiently for the Neptune system Increase the decibel level of the alarm system 5 5
6 PIR & Camera with Floodlight Scott Raspberry Pi Camera to take pictures of pool environment when PIR sensor detects movement and audio analysis indicates splash RPi Camera is the best choice to interact with the Pi because it is compatible, there is a dedicated RPi ribbon port on the board, and is perfectly integrated into Python A floodlight will be used to illuminate the pool area in the event of nighttime intrusion 6 6
7 Scott Current Audio Analysis Method Python PyAudio for live audio capture Numpy: audio processing library; data organization QT for plotting Currently we are tracking audio at all times and performing a FFT as it is received in order to analyze in terms of amplitude and frequency Requires a hard-coded algorithm to determine if incoming audio is a splash sound Due to the inconsistent performance and false alarms this could provide, one of our FDR goals is to use Matlab to incorporate a form of machine learning. 7 7
8 Audio Analysis Goal: Machine Learning Scott Matlab on Raspberry Pi via simulink Train a classifier that utilizes a database of known splash/non-splash sounds to which newly captured audio will be compared and determined to contain a splash We evaluating the MIR toolbox library to do this processing as it contains the means to classify in addition to onboard machine learning algorithms This will provide a more efficient and accurate way of detecting audio disturbances 8 8
9 Power System Requirement Frankie Provides 12V-3A to supply the alarm system Provides 5V-2A to power the Raspberry Pi Buck Converter LM V to 5V 3A AC/DC Adapter Raspberry Pi 120VAC to 12VDC 3.5A 120 VAC Relay Relay Computer Neptune Alarm System 9 9
10 Power System Choices 12V 3.5A DC Power Supply Adapter 100/240VAC 50-60Hz Frankie 12VDC 3.5A LM2576 3A Step-Down Voltage Regulator 75% efficiency for Vin = 12V and Iload = 3A Computer 10 10
11 Power System Results AD/DC Adapter and LM2576 Voltage Regulator Results shown in Digital Multimeter Computer Frankie LM2576 Voltage Regulator Result shown in Oscilloscope 11 11
12 Relays Frankie EDR201A0500 Simple relay to activate alarm circuit 3.3V from GPIO pin on the RPi will close relay RPi Relay Module 250V/10A Relay module chosen which will be used to switch on 120V floodlight with 3.3V output from a GPIO pin on the RPi Relay module requires 5V to power itself Computer 12 12
13 Hang Alarm System (Previous) Once both the motion and splash are detected, the Raspberry Pi will trigger the EDR201A0500 relay to activate the alarm system The amplitude produced by this alarm is up to 32 db within ~15 cm using the Spectrum Analyser application Alarm System Frequency vs. Amplitude Plot Alarm System Result shown in Oscilloscope 13 13
14 Hang Alarm System Changes CDR Goal: Increase the decibel level of the alarm system Solution: Utilize PH-180Q 8Ω Speaker Horn and Loudspeaker that handles up to 15W Utilize LT1206 Current Feedback to amplify the current from 20mA to 1.2A PH-180Q Speaker Horn LT1206 Current Amplifier 14 14
15 Hang Alarm System Schematic PREVIOUS ALARM SYSTEM SCHEMATIC Sziklai Pair LT1206 Current Amplifier PH-180Q Speaker OUTPUT Chosen Av =
16 Hang Alarm System Result Produces up to 70 db with 12V supply Alarm System Result shown in Oscilloscope Alarm System Frequency vs. Amplitude Plot 16 16
17 Problems Encountered - Frankie PIR Functionality around 98.6 F Computer 17 17
18 Cost Breakdown Part Speaker $11.29 Current Amplifier $6.28 Voltage Regulator $2.68 USB Microphone $32.99 USB Wifi Adapter $8.50 PIR Sensor $9.95 Camera $26.65 Raspberry Pi 2 $35.00 Flood Light $ V 3.5A AC/DC Converter Total Cost Computer Cost $7.48 $
19 FDR Goals Frankie Design and implement PCB for Neptune system Refine tone of audible alarm Implement Simulink on the Raspberry Pi for audio analysis Fabricate enclosure for the Neptune system Test system in a real pool environment Computer 19 19
20 Upcoming Demo... Use our designed power system to demonstrate an accurate flow of power Simulate someone walking into the pool shortly before a splash sound occurs (could be any loud sound in the frequency range) Scott At this point picture message will be sent, loud alarm will go off, and LED will illuminate We encountered problems with relay switch so floodlight will be incorporated by FDR Computer 20 20
21 DEMO Computer 21 21
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