Project

# Title Team Members TA Documents Sponsor
10 Automated Video Capture Bird Feeder with Data Collection
Colten Brunner
John Golden
Kevin Li
Nikhil Arora design_document2.pdf
final_paper1.pdf
photo1.jpg
photo2.jpg
presentation1.pptx
proposal2.pdf
video
# Automated Video Capture Bird Feeder with Data Collection

Team Members:
Kevin Li (kli56)
Colten Brunner (cbrunner)
John Golden (jgolden4)

# Problem

Many nature enthusiasts enjoy watching birds outside of their windows with homemade or store bought feeders. This practice has been going on for many years, but until recently it has been impossible to see the birds feeding without being present. With modern day technology, it has become possible to mount cameras onto or adjacent to bird feeders in order to see birds feeding, but in the new era of information technology, there should be more to bird feeders than simple footage. We seek to add onto an automated video capture system by including data capture to analyze when peak feeding hours occur. This problem is one that occurs for common bird watchers and ornithologists alike. Whether it is knowing when to sit in front of your bird feeder or wanting to collect feeding data in specific areas, this is a problem that necessitates a solution.

# Solution
The solution we propose involves a bird feeder that has a camera to turn on when motion is detected. The idea is to have an ultrasonic transducer that would trigger a camera to record for a given set of time if motion is detected. In addition specific data points that would be beneficial to nature enthusiasts would be acquired and stored. These would include time intervals when birds arrive to identify peak bird times and would be stored along with the video footage on an sd card.

# Solution Components

## Subsystem 1 - Video Capture

This subsystem focuses on capturing video footage triggered by the ultrasonic transducer. Components include: An ultrasonic transducer to detect motion and alert the camera to start recording, a microcontroller for processing video data and triggering the camera system as well as transmitting bird tracking data, and a camera that will take videos of the birds feeding.

## Subsystem 2 - Data Collection

Data Collection will be important to the end user and so require a separate system to ingest the data and store it properly for later usage. This will require connections to other subsystems to check for example if the camera is turned on and will require a storage component in addition to a processing unit.

## Subsystem 3 - Power System

A power system is required to power the other subsystems and during testing this will be done through dc power supply with potentially additional voltage regulations. Ideally in the final project all subsystems would be powered by a battery pack.

## Subsystem 4 - Bird Feeder

The bird feeder subsystem is the physical enclosure that stores the bird seed as well as houses all the electronic components. This means that fire hazard concerns need to be taken into account as well as protective measures for the camera due to the outdoor location of the bird feeder. The camera also needs to be protected from the elements while still maintaining unimpeded motion capture.


# Criterion For Success

-Video footage of birds feeding is successfully captured and stored in specific time intervals.

-The motion detector is sensitive to birds and wildlife, minimizing unnecessary background "noise."

-A collection of the time intervals when the birds would arrive for feeding and have the peak times the birds are out.

-The bird feeder successfully distributes food into the “feeding area” until the reservoir is completely empty.

Resonant Cavity Field Profiler

Salaj Ganesh, Max Goin, Furkan Yazici

Resonant Cavity Field Profiler

Featured Project

# Team Members:

- Max Goin (jgoin2)

- Furkan Yazici (fyazici2)

- Salaj Ganesh (salajg2)

# Problem

We are interested in completing the project proposal submitted by Starfire for designing a device to tune Resonant Cavity Particle Accelerators. We are working with Tom Houlahan, the engineer responsible for the project, and have met with him to discuss the project already.

Resonant Cavity Particle Accelerators require fine control and characterization of their electric field to function correctly. This can be accomplished by pulling a metal bead through the cavities displacing empty volume occupied by the field, resulting in measurable changes to its operation. This is typically done manually, which is very time-consuming (can take up to 2 days).

# Solution

We intend on massively speeding up this process by designing an apparatus to automate the process using a microcontroller and stepper motor driver. This device will move the bead through all 4 cavities of the accelerator while simultaneously making measurements to estimate the current field conditions in response to the bead. This will help technicians properly tune the cavities to obtain optimum performance.

# Solution Components

## MCU:

STM32Fxxx (depending on availability)

Supplies drive signals to a stepper motor to step the metal bead through the 4 quadrants of the RF cavity. Controls a front panel to indicate the current state of the system. Communicates to an external computer to allow the user to set operating conditions and to log position and field intensity data for further analysis.

An MCU with a decent onboard ADC and DAC would be preferred to keep design complexity minimum. Otherwise, high MIPS performance isn’t critical.

## Frequency-Lock Circuitry:

Maintains a drive frequency that is equal to the resonant frequency. A series of op-amps will filter and form a control loop from output signals from the RF front end before sampling by the ADCs. 2 Op-Amps will be required for this task with no specific performance requirements.

## AC/DC Conversion & Regulation:

Takes an AC voltage(120V, 60Hz) from the wall and supplies a stable DC voltage to power MCU and motor driver. Ripple output must meet minimum specifications as stated in the selected MCU datasheet.

## Stepper Drive:

IC to control a stepper motor. There are many options available, for example, a Trinamic TMC2100. Any stepper driver with a decent resolution will work just fine. The stepper motor will not experience large loading, so the part choice can be very flexible.

## ADC/DAC:

Samples feedback signals from the RF front end and outputs the digital signal to MCU. This component may also be built into the MCU.

## Front Panel Indicator:

Displays the system's current state, most likely a couple of LEDs indicating progress/completion of tuning.

## USB Interface:

Establishes communication between the MCU and computer. This component may also be built into the MCU.

## Software:

Logs the data gathered by the MCU for future use over the USB connection. The position of the metal ball and phase shift will be recorded for analysis.

## Test Bed:

We will have a small (~ 1 foot) proof of concept accelerator for the purposes of testing. It will be supplied by Starfire with the required hardware for testing. This can be left in the lab for us to use as needed. The final demonstration will be with a full-size accelerator.

# Criterion For Success:

- Demonstrate successful field characterization within the resonant cavities on a full-sized accelerator.

- Data will be logged on a PC for later use.

- Characterization completion will be faster than current methods.

- The device would not need any input from an operator until completion.

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