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Identify needs that justify an electrical and computer engineering problem-solving effort
Wildfires and control burning pose risks for humans involved in fighting them.
Forget car keys somewhere/lose them.
Renewable Energy Source up and coming.
Energy Grids have a lot of energy loss and potential for efficiency to be improved (Smart Grid Design).
When entering a parking garage unsure of how many spots are left and build up of line of people entering garage and having to get ticket and pay for spot.
Natural disaster cause a lot of negatives if unable to prepare for it.
Investing and retirement saving is very overwhelming with how to start and what to do with your money.
Grocery shopping as a college student can be expensive and time consuming if unsure what to get and from where.
So many different environmental factors can affect sleep: lumens, temperature, humidity, etc. We spend a good amount of our lives sleeping how can we maximize it.
In prisons a group of people have to monitor the cameras of each cell and room trying to predict behavior to prevent dangerous situations for fellow correctional officers or other inmates.
Automation of in home task or task during manufacturing of a product.
Removing redundancies in a product.
Adding Wi-Fi and App-based capabilities to a product.
Develop a design proposal that justifies the need to develop a technical solution to a problem
Note: Our team had 3 ideas that we liked so we decided to develop design proposals for all three. Design proposals were developed for a baby monitor equipped with environmental sensors for sleep analysis, a smart parking system, and an AI investment coach software.
For each design proposal the following was discussed:
Objective (why?)
Background (who? where?)
Methodology (how? when?)
Expected results (what?)
Costs (how much will it cost?)
BABY SLEEP MONITOR w/ ENVIRONMENTAL SENSORS
a. Why?
Sleep is critical for infant growth and development, affecting brain function, immune system health, and overall well-being.
Environmental factors such as temperature, humidity, noise levels, and air quality impact sleep quality and safety.
A smart baby monitor with environmental sensors can help parents detect potential risks (e.g., room too hot, poor air quality, excessive noise) and optimize sleep conditions for their baby.
b. Who? Where?
Who:
Parents & caregivers of newborns and infants.
Hospitals & childcare centers that want to ensure safe sleep environments.
Tech-savvy parents looking for smart home integration.
Where:
Homes, especially nurseries and bedrooms.
Daycare centers & hospitals for monitoring multiple babies.
Smart home ecosystems where parents want remote monitoring (cellphone app).
c. How? When?
How:
The baby monitor will use sensors to detect environmental factors such as:
Temperature & humidity (to prevent overheating or dryness).
Air quality (detecting CO₂ levels, VOCs, or allergens).
Noise levels (to monitor disturbances affecting sleep).
Motion detection (to track sleep patterns and movement).
It will alert parents via a mobile app (baby monitor will connect to the app as well).
When:
Used during nights and nap times.
d. What?
Product will be a smart baby monitor with:
Camera & microphone for video/audio monitoring.
Environmental sensors (temperature, humidity, air quality, noise).
Mobile app integration for remote alerts & monitoring.
Cloud Storage for historical data & insights.
e. How much will it cost?
Supply costs [around $150]:
Camera + Microphone [~$50].
Motion + Sleep Tracker Sensor [$10-$25].
Environmental sensors (temperature, humidity, noise, air quality) [~$50].
Processing unit [~$15].
Wi-Fi/Bluetooth integration [~$10].
Labor costs:
Electrical/computer engineers will work on this for around $40/hr to develop the product (~200 hours for product) [~$8,000].
Estimated Total Cost: $8,300.
SMART PARKING SYSTEM
a. Why?
In congested areas where parking is limited, many people waste a lot of valuable time driving around full parking lots to look for parking spaces. A smart parking system would reduce time spent searching for parking and allow people to get to their destination faster.
Faster service time for customers means more spaces available for parking sooner which means more customers in general improving profitability in private parking garages.
b. Who? Where?
Who:
Parking Garage Owners.
Cities or Towns.
Where:
Private parking garages.
Paid Street Parking.
c. How? When?
How
Battery or Solar Powered sensors will determine if a car is on top of it using LiDAR or light sensors. These sensors will note whether its spot is empty or note in a program. The sensors will also work with E-ZPass like electronic tags, reading if the car has a tag on it and automatically deducting money from the account to park.
When
All day or night.
d. What?
Product will be an array of battery or solar powered sensors with:
Antennas for connection with electronic tag.
LiDAR or Light Sensors.
Computer or Mobile App Integration.
Cloud Storage for Data Analysis and Application.
e. How much will it cost?
Labor:
Installation of the sensors [~$5,000].
Creation of computer/mobile based program to interface with the sensors ~[$8,000].
Supplies:
PCB with sensors for each parking space [~$50 per space].
Estimated Total Cost (for 100 parking spaces): $18,000.
AI INVESTMENT COACH SOFTWARE
a. Why?
Investing can be complex, requiring quick decision-making, pattern recognition, and risk management, which can overwhelm individual investors. Many people lack the time, resources, or expertise to make informed investment decisions.
AI-powered investment software helps by analyzing large datasets, identifying trends, and making predictions about asset performance. It can assist investors in optimizing their portfolios, identifying new opportunities, and minimizing risks. With machine learning and real-time data, AI can adjust strategies based on market conditions.
b. Who? Where?
Who:
Individual investors looking to optimize their investment strategies.
Institutional investors, such as hedge funds and asset management firms, that need more advanced tools for data analysis.
Robo-advisory services that want to offer AI-powered investment solutions.
Where:
Investments done with personal devices or institutional investment devices.
c. How? When?
How:
The AI investment software will use advanced algorithms to analyze financial data, including:
Historical asset performance and trends.
Market sentiment (news, social media, financial reports).
Strategies (Stochastic Oscillators, MACD, etc.).
Risk factors (volatility, market correlations).
Economic indicators (interest rates, inflation, GDP).
It will generate predictions, provide portfolio recommendations, and issue alerts for buy/sell decisions. The software will be integrated into a user-friendly interface, allowing investors to access real-time insights and automatic adjustments to their portfolios.
When:
Used daily or on-demand, based on market fluctuations and the user’s investment strategy. Can be used for both short-term trading or long-term portfolio management.
d. What?
The product will be an AI-powered investment software with:
Machine learning algorithms for real-time market analysis.
Portfolio optimization tools based on risk tolerance and investment goals.
Predictive analytics for asset performance and market trends.
Mobile app and desktop integration for easy access and notifications.
Cloud-based storage for historical data, trends, and insights.
Customizable settings based on the investor’s preferences.
e. How much will it cost?
Supply Costs:
Data acquisition fees (financial data, news sources, market feeds) [~$100/month].
Cloud computing/storage (for data processing and storage) [~$50/month].
Machine learning and predictive analytics development [~$100/month].
App and software maintenance [~$20/month].
Labor:
Arden: Computer Engineer [~$2,000]
Lead development of machine learning models and predictive algorithms for the AI investment software.
Work on integrating financial data sources and ensuring smooth data flow for real-time analytics.
Optimize the software’s data processing capabilities, ensuring it handles large datasets effectively.
Develop the backend system for data storage, cloud-based infrastructure, and APIs.
Josh: Computer Engineer [~$2,000]
Assist in the development of machine learning models and algorithms, focusing on performance tuning and optimization.
Help with integrating predictive analytics tools and market trend analysis.
Work on user interface (UI) design and experience (UX) for the mobile app and web interface.
Ensure smooth integration of data processing with front-end user experience.
George: Electrical Engineer [~$2,000]
Provide expertise in hardware integration if there are any physical devices (e.g., specialized hardware for data collection, sensors, or server components).
Work on the infrastructure for the cloud computing and data storage systems.
Assist in hardware optimization to ensure efficient power consumption and performance in a distributed computing environment.
Kyra: Electrical Engineer (EM Grad) [~$2,000]
Assist with leadership to help distribute roles and responsibilities of tasking.
Focus on system architecture and ensuring the software’s hardware components (servers, cloud-based infrastructure) are optimized for efficiency.
Assist in ensuring the system’s overall reliability and scalability, particularly with regard to server components and network infrastructure.
Monthly Estimated Costs: $270.
Estimated Total Cost for Development: $8,270.