The automatic pet feeder project aims to design a phone-controlled device that can dispense the correct amount of food to pets based on their type. The design includes a microcontroller, RFID module to identify pets, sensors to measure food levels, a Bluetooth module to connect to a phone app, and servomotors to control food gates and plates. Requirements include recognizing pets within 50cm, measuring food weights within 15g, low Bluetooth latency, and steady motor performance. The budget is $15,000 for labor and $118.71 for parts.
In daily effort associated with husbandry watery is that the beneficial task. Method of watering needs 2 necessary aspects to be considered: once and the way a lot have to water, so as to exchange manual activities and creating work easier, the project builds Associate in IOT device that may initiate the watering of the plant system mechanically whenever the wet content within the pot drops below a threshold price, which can facilitate the plants to succeed in their fullest potential furthermore as protective water, victimization. This technique can guarantee quality husbandry with conservation of water. All these notifications are going to be created out there to the user through mobile application
In daily effort associated with husbandry watery is that the beneficial task. Method of watering needs 2 necessary aspects to be considered: once and the way a lot have to water, so as to exchange manual activities and creating work easier, the project builds Associate in IOT device that may initiate the watering of the plant system mechanically whenever the wet content within the pot drops below a threshold price, which can facilitate the plants to succeed in their fullest potential furthermore as protective water, victimization. This technique can guarantee quality husbandry with conservation of water. All these notifications are going to be created out there to the user through mobile application
Implementation Of Real Time IoT Based Health monitoring systemkchakrireddy
This is a project implemented by me and my friends during our final year. It is designed for doctors who are not able to be with the patients all the time. This improves the gap between the patients and the doctors.
Home Automation Using Arduino Uno and HC-05Vidhi Shah
Controlling the DC motor (as fan) and Light bulb through HC-05 bluetooth module using the bluetooth terminal app from available on play store. The report attached herewith have a detailed description of the Circuit and the code. Interested ones can do further editings also:)
Working Concept of Fire Fighting Robot: The main brain of this project is the Arduino, but in-order to sense fire we use the Fire sensor module (flame sensor) that is shown below. As you can see these sensors have an IR Receiver (Photodiode) which is used to detect the fire.
IR BASED HOME AUTOMATION USING ARDUINO UNOMln Phaneendra
In this work, a remote controlled device is used to control 1 - 6 different single phase loads like Fans, Tube Lights and etc.,
This Automation can be operated up to a 30 feet of distance . Our work is based on Infra-Red(IR) technology and a simple Arduino Board(AB) using Printed Circuit Board(PCB).
The new designed circuit is more advantageous as it is portable, easy to carry and use.
Implementation Of Real Time IoT Based Health monitoring systemkchakrireddy
This is a project implemented by me and my friends during our final year. It is designed for doctors who are not able to be with the patients all the time. This improves the gap between the patients and the doctors.
Home Automation Using Arduino Uno and HC-05Vidhi Shah
Controlling the DC motor (as fan) and Light bulb through HC-05 bluetooth module using the bluetooth terminal app from available on play store. The report attached herewith have a detailed description of the Circuit and the code. Interested ones can do further editings also:)
Working Concept of Fire Fighting Robot: The main brain of this project is the Arduino, but in-order to sense fire we use the Fire sensor module (flame sensor) that is shown below. As you can see these sensors have an IR Receiver (Photodiode) which is used to detect the fire.
IR BASED HOME AUTOMATION USING ARDUINO UNOMln Phaneendra
In this work, a remote controlled device is used to control 1 - 6 different single phase loads like Fans, Tube Lights and etc.,
This Automation can be operated up to a 30 feet of distance . Our work is based on Infra-Red(IR) technology and a simple Arduino Board(AB) using Printed Circuit Board(PCB).
The new designed circuit is more advantageous as it is portable, easy to carry and use.
OUTDOOR MOBILE ROBOTIC ASSISTANT MICRO-CONTROLLER MODULE (ARDUINO), FIRMWARE ...ijaia
This paper presents an outdoor mobile robot that can be controlled remotely using an android phone. With
the help of the sensors, the robot was programmed to navigate within the bounded field, detectthe motion in
the surroundings and can also send an alarm. The robot was designed to be able to navigate to the
flowerpots placed in the zone and dispense water to those pots.The robot has proved capable of watering a
total of 600 ml to two different plants in a predefined area. The robot, if operating in a manual mode, can
be used to remotely water plants in a radius of 9 meters. On top of this, it emits no carbon and produces no
RoHS by-products and can thus be deemed 100% eco-friendly.
A sensing approach for automated and real-time crop prediction in the scope o...bijejournal
Internet of things (IoT) sensors have the ability to provide information about agricultural fields and subsequently
take action based on user input, making smart agriculture an emerging concept. The development of a smart
farm system using the advantages of cutting-edge technologies like Arduino, IoT, and wireless sensor networks
is proposed in this paper. The goal of the study is to use rapidly developing technology, i.e., IoT and automated
smart agriculture, to its advantage. The key to increasing the production of productive crops is to keep an eye on
the environment. The main feature of this paper is the creation of a system that can use ESP8266 sensors to track
temperature, humidity, moisture, and even the movement of animals that could damage crops in an agricultural
field. If any discrepancy is detected, the system can send an short messaging service notification to the farmer’s
smartphone as well as a notification on the application that was created for the purpose. Through an android
application, the system’s duplex communication link, which is based on a cellular Internet interface, enables data
examination and irrigation scheduling programming. The device has the potential to be helpful in water-scarce,
remote places due to its low cost and energy independence.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
Automatic Pet Feeder Project - Project Proposal_12p_GOOOD.pdf
1. Automatic Pet Feeder Project
Project Proposal
TA: Henry Duwe
Project Contributions:
Zhuokai Zhao zzhao33
Ziyun He ziyunhe2
Fan Ling fanling2
February 10, 2016
3. 1. Introduction
We chose this project because pet keeping is a time consuming responsibility and we want to
provide convenience to owners by helping them feed their pets easily and smartly.
1.1. Motivation
Keeping pets takes many commitments. This includes keeping them company, showing your
concerns and of course, feeding them on time and in the correct way. However, not everyone is a
pet expert, taking care of your pet’s diet can be hard and time consuming. One of the top health
concerns of pets are overeating and obesity. Especially at younger age, they are usually satisfied
with however much is given to them. Many adult pets are fed unscientifically that later may
cause short lifespan. Another problem of feeding pets is that owners might not always be home
regularly. Being occupied by personal plans knowing that they still have a starving little fellow at
home to be taken care of is always a concern that bothers owners. The third concern that we want
to deal with is the fact that there hasn’t been any product on the market right now that is able to
dispense different foods for different kinds of pets. However, pets themselves might not
necessarily recognize the potential health problems of eating the wrong food. Therefore, we want
to take care of owners’ concern of feeding by building a phonecontrolled automatic pet feeder
that can dispense the correct amount of food on time, based on the type of animal that’s
demanding it.
1.2. Objectives
Our project is designed to help all the pet owners to feed their pets remotely and smartly.
Benefits to customer:
● Owners will be able to feed the correct amount of food to their pets by setting it on the
phone app. The information will be transferred to the PCB via Bluetooth, which will send
signals to food dispensing gates.
● Owners will be able to monitor their pet’s health condition via their daily consumption of
food recorded by the app. Sensors will be embedded on the food plate, which measures
the difference of weights by the end of each day. Information will be processed by PCB
and sent to the phone app.
● Owners with two different types of pets will be able to feed them separately with
corresponding food. In particular, a household can have dogs of different ages that need
different food; or if the owner owns both dog and cat and does not want them to eat the
wrong food by accident. Each pet will have a RFID tag. When the RFID receiver
identifies the type of animal, the correct angle of food plate will be spinned so that the
corresponding food will be exposed.
Product feature:
● The phone app could set the correct amount of food to drop at the correct time.
2
4. ● The phone app could save a pet profile (name, age, birthday, weights, etc) for owners to
keep track.
● The app could keep track of how much food the pets have consumed in a long run
graphically.
● The machine could be sustained by both power cords.
● RFID will be embedded into pets’ tags to differentiate types of pets for different food
needs.
2. Design
2.1. Block Diagrams
Figure 1: General block diagram of the hardware design
3
5. Figure 2: General block diagram of the software design
2.2. Block Descriptions
2.2.1. Microcontroller
We choose to use AVR 8bit microcontroller because it provides a nice compatibility with any of
the other modules on the market. 8bit is also sufficient for our purposes. The microcontroller is
the central control unit of the whole system. It will be collecting many inputs. This includes:
measurement from sensors, which will be transferred to phone devices via Bluetooth; RFID
activation signal from the reader, which will be processed in the microcontroller; data acquisition
signal from the Bluetooth, which asks the daily food consumption data stored inside of the
microcontroller. The microcontroller also generates several outputs. First, after receiving
triggered signal of RFID, it will look up the angle to spin for the round food plate if current
exposed region is not for the particular animal. Second, when the weight sensor on the food
plates measures insufficient amount of food, the microcontroller will signal to rotate the gate by
the precalculated angle and dispense 100 grams of food for the animals. We chose to dispense
100 grams of food at once to make sure that the dispensing process is in a range that we can
control and it also helps minimize collateral damage in case the pet trips the machine over and
spills all the food. Once the total amount dispensed has reached the upper limit that the owner
has set, no more food will be able to dispense. This feature helps prevent overeating problem of
4
6. pets. The microcontroller will be storing the weight of remaining food in the containers only
when there is an action of food dispense, while storing the food weight on the food plates at
regular time to keep track of animals’ food consumption. In addition, the microcontroller also
stores the consumption data which will be transferred to the phone upon Bluetooth request.
2.2.2. RFID Module
Passive RFID module will be used to recognize different pets and dispense food
correspondingly. We chose passive RFID for two reasons. First, it minimizes the consumption of
electricity and potential danger of the pets by having no ontag power supply. Secondly, passive
RFID grants small read range for the receiver. Having a small read range minimizes the
possibility that the receiver misrecognizes a pet for eating when it’s only hanging out around the
machine to prevent unnecessary mechanical movements and electrical consumption. When the
animal has come to the range of the reader (50 cm), microcontroller will be notified by the
receiver. The microcontroller will signal the round food plate to spin at the precalculated angle
and expose the correct section of food for the animal to have.
2.2.3. Sensors Measuring Food Containers
Two identical cylindrical containers will be assembled at the top of the machine, with a weight
sensor attached to the bottom of each container. The sensors will be taking measurements
constantly and sending their data to the microcontroller, while microcontroller stores data only
when an action of food dispense has occurred.
2.2.4. Sensors Measuring Food Plates
There will be two separate food plates in the shape of halfcircles. Two weight sensors, one for
each half of the food plate, will be attached to the bottom of the plates. The sensors will keep
track of the amount of food the pets have consumed. The sensors will be taking measurements
constantly and sending their data to the microcontroller, while microcontroller stores data on
specified time of the day.
2.2.5. Bluetooth Module
Bluetooth module will be implemented by HC06 Wireless Bluetooth Transceiver Module.
HC06 module is a widely used bluetooth module which supports Bluetooth 4.0 technology and
can provide a significant small latency (approximately 3ms). It can be connected directly to the
5V AVR 8bit Microcontroller. The effective distance of this device is 10m, which would satisfy
an easy connection and pairing.
2.2.6. Servomotor Controlling Food Gate
There will be a 120
° pie shape opening on the bottom of each food container, which corresponds
to the same
120
° pie shape on the gate plate. The gate plate is a smaller circular shape plate
5
7. attached in the middle of the two containers. With the 120° opening on the gate plate, it allows
the food to be dispensed when the two pie shapes overlap with each other. Servomotor,
controlled by microcontroller, will be spinning the gate plate to desired location.
2.2.7. Servomotor Controlling Food Plates
The food plate will be a half closed structure where only one side of the food plate would be
exposed at a time. Once RFID reader signal is triggered, microcontroller will be sending spin
information to the motor. The servomotor will spin the plate by the specified angle and direction
to expose the corresponding half of the plate for the particular pet.
2.2.8. Phone application
Figure 2 is a state diagram that shows a complete execution logic of the phone application. The
edges represent inputs from the user. The ones without any illustration are assumed to be “of all
inputs”. The application will send and receive information to/from the feeder via Bluetooth
connection. Bluetooth 4.0 will be preferred but 3.0 will also be accepted.
The first page of the interface will be the Home page. Three tabs will be displayed: “Set”,
“Profile”, and “Data”. When user clicks on either “Set” or “Profile”, they will be prompted to
select either Pet 1 or Pet 2 first. The user will then have the option to enter the food information
for the selected animal. If the entered amount is invalid (negative or exceeds our maximum
capacity), a warning will be prompted and it will go back to the previous state and ask user to
enter the numbers again. After completing the “Set” information, the software will go back to its
initial Home state.
If the user chooses to enter the bioinformation of the pet by pressing “Profile”, a form which
contains questions including the age, weight, and gender will be given to the user. Then the user
will again go back to the Home screen.
In addition, the third tab “Data” enables the users to collect information of pets’ food
consumption. When the tab is pressed, the phone will be sending a data request signal to the
microcontroller. When the data is acquired, it will ask the user to choose between “Graph” and
“Today”, which will generate either a graph of pets’ weekly consumption or more detailed
information of today’s consumption.
3. Requirement and Verification
Module Requirement Verification Points
RFID Module a. Be able to recognize the
pets correctly in the range
of 50 cm +/ 15 cm
a)
1. Connect the receiver to a computer through an
Arduino
2. Test the RFID tag from 40 cm to 80 cm away
from the receiver
15 points
6
8. 3. Check the data sent to the computer and
monitor the range when the receiver stops
recognizing the tag
Sensors Measuring
Food Plates and
Food Containers
a. Be able to measure the
correct data at 15 grams
tolerance
b. Be able to respond to the
changes of weights in food
containers accurately
a)
1. Connect the sensor to a computer through an
Arduino
2. Fill the food container with a known amount of
pet food (i.e., 200g)
3. Check the data generated by the weight sensor
and see if it’s within the tolerance
b)
1. Gradually pour food into the container
2. Observe the data change via computer to see if
there is any discontinuity or unusual
20 points
Bluetooth Module a. Be able to connect with the
phone app
b. Has at most 5 ms latency
for signal transferring
a)
1. Connect the phone with the Bluetooth Module
2. Check the connectivity status on the phone
b)
1. Write a code to check the speed of response
signal on Arduino
2. Connect the Bluetooth module to computer
through the Arduino
3. Send a signal from the Bluetooth module
4. Check the result responding time
20 points
Servomotor
Controlling the
Food Gate and
Food Plates
a. Be able to rotate the food
gate for specified degree in
a given direction
b. Steady performance
a)
1. Connect the motor to the computer through an
Arduino
2. Send specified degrees and direction to the
motor
3. Check motor’s performance
b)
1. Perform test a) 10 times
2. Check motor’s accuracy
20 points
Microcontroller a. Be able to receive inputs
and generate right output
signals
b. Be able to store data
a)
1. Power the microcontroller with 5V
2. Connect a LED to the microcontroller
3. Program the microcontroller to light the LED
up when a digital signal of high is received
4. Input the signal through a constant DC voltage
as a logic high via function generator
5. Check if the circuit behaves normally
b)
1. Power the microcontroller with 5V
2. Connect the microcontroller to several LED’s
3. Program the microcontroller to store the data
upon receiving it, and display it on LED when
the button is pushed
4. Push the button and check if the circuit baheves
normally
20 points
7
9. Power Cord a. Supply 5V +/0.25V at a
minimum of 1A +/ 0.25A
a)
1. Place Digital Multimeter in parallel with the
power source. Measure the voltage difference
across the power source. The voltage should
read 5V +/ 0.25V
2. Place Digital Multimeter in series with the
power source and heating elements. Measure
the current difference from the power source.
The current should read 1A +/ 0.25A
5 points
4. Tolerance Analysis
In terms of our project, the high level goal is to make two pets to be fed by the right food in the
correct amount. More specifically, for every time the food is dispensed, 100g of food should be
released. The maximum tolerance allowed is +/ 15 g so we are able to keep track of pets’ food
consumption in a more accurate way. Among all components, bluetooth latency will not have
significant effect because it should not happen at the time of dispensing. The accuracy of the
servomotor at the gate of the dispense does not have a huge impact on our high level goal. This is
because the amount of food dispensed is controlled by the weight sensors so that it will still be
able to dispense the right amount, although the off of angle might cause the dispensing process to
be not as smooth.
On the other hand, the weight sensors we will be using, which consist of load cells and AD
modules, are the most essential part of our project, because we want to make sure that the correct
amount of food is dispensed so that we can obtain the accurate information of each pet. The load
cells we are going to use will have a range from 05 kg. To test the tolerance of the sensor, we
will be loading different amount of food onto the plate and check its accuracy compared to the
actual one. Though normally the food container will not be big enough to hold 5 kg, it is still
important to test its extremes cases. To perform the test, we will put food of exactly or slightly
over than 5 kg on the load cell and see if it’s measuring correctly. The results will be recorded in
the notebook.
5. Cost and Schedule
5.1. Cost
Labor
:
Zhuokai Zhao: $40/hour * 2.5 * 50 hours = $5,000
Ziyun He: $40/hour * 2.5 * 50 hours = $5,000
Fan Ling: $40/hour * 2.5 * 50 hours = $5,000
Total: $15,000
8
10. Parts List
:
1. Arduino (free in the lab)
2. Four HX711 Load Cell Weighing Sensor AD Module ($9 each)
3. Four Load Cell Sensor 05 kg ($6 each)
4. Two Arduino T010051 Motor ($14.36 each)
5. Two RFID Module ($8.99 each)
6. Two Buckets for Food Container and Outside Cone Shape ($4+$8)
7. HC 06 Wireless Bluetooth Transceiver Module($5.99)
Sum planned parts cost: $118.71
Grand Total: $15,118.71
5.2. Schedule
Week Task Responsibility
February 8 Finish Project Proposal
Prepare for Mock Design Interview
Ziyun He
Finish Project Proposal
Prepare for Mock Design Interview
Fan Ling
Finish Project Proposal
Prepare for Mock Design Interview
Zhuokai Zhao
February 15 Complete the Eagle Assignment
Consult Experts
Ziyun He
Complete the Eagle Assignment
Consult Experts
Fan Ling
Complete the Eagle Assignment
Select and Acquire Equipment, such as Servo, Weight Sensors, RFID, and
Bluetooth Module
Zhuokai Zhao
February 22 Complete Soldering Assignment
Build “Profile” Tab for Phone App
Ziyun He
Complete Soldering Assignment
Build and Test the Power Module
Fan Ling
Prepare for Design Review
Design and Acquire PCB
Zhuokai Zhao
February 29 Build “Setting” Tab for Phone App
Design and Acquire PCB
Ziyun He
Build and Test the Power Module
Test and Find the Right Spin Speed for Both Servomotors
Fan Ling
Design and Acquire PCB Zhuokai Zhao
9
11. March 7 Build “Setting” Tab for Phone App
Design and Acquire PCB
Ziyun He
Test and Find the Right Spin Speed for Both Servomotors
Test the Weight Sensors and Obtain Their Limits
Fan Ling
Design and Acquire PCB
Build and Test RFID Module
Zhuokai Zhao
March 14 Build “Data” Tab for Phone App
Build the Outside Supporting Structure, Gates, Food Plates, Dividers and
Containers
Ziyun He
Test the Weight Sensors and Obtain Their Limits
Build the Outside Supporting Structure, Gates, Food Plates, Dividers and
Containers
Fan Ling
Build and Test RFID Module
Finalize Design for PCB
Zhuokai Zhao
March 21 Build “Data” Tab for Phone App
Build the Outside Supporting Structure, Gates, Food Plates, Dividers and
Containers
Ziyun He
Build and Test Bluetooth Module
Test Sensor and Servo with PCB
Fan Ling
Complete R&V Table
Build and Test Bluetooth Module
Zhuokai Zhao
March 28 Test App Functionalities with PCB Ziyun He
Test Sensor and Servo with PCB Fan Ling
Test Bluetooth and RFID Modules with PCB Zhuokai Zhao
April 4 Finalize R&V Table
Prepare for Mock Demo/Debug
Ziyun He
Prepare for Mock Demo
Finalize PCB
Fan Ling
Finalize R&V Table
Prepare for Mock Demo
Zhuokai Zhao
April 11 Testing and Debugging App Functionality with PCB
Prepare for Mock Presentation
Ziyun He
Testing and Debugging Sensor and Servomotors
Prepare for Demo
Fan Ling
Testing and Debugging RFID and Bluetooth Module
Prepare for Demo
Zhuokai Zhao
10
12. April 18 Corner cases and Optimization with App
Prepare for Mock Presentation
Ziyun He
Corner cases and Optimization with Sensors and Servomotors
Prepare for Mock Presentation
Fan Ling
Corner cases and Optimization with RFID and Bluetooth Module
Prepare for Demo
Zhuokai Zhao
April 25 Complete Final Paper
Prepare for Presentation
Ziyun He
Final Paper
Prepare for Presentation
Fan Ling
Final Paper
Prepare for Presentation
Zhuokai Zhao
May 2 Finalize Final Paper Ziyun He
Finalize Final Paper Fan Ling
Finalize Final Paper Zhuokai Zhao
11