ALERT Projects

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Overview:

Our Arduino-driven Driveway Alert System is designed to provide you with instant email or SMS alerts whenever there's movement in your driveway. Whether it's a delivery truck, animals, or an unexpected visitor, you'll know immediately. This innovative system combines the power of infrared motion detection with the versatility of wireless communication to create a reliable, real-time alert mechanism. Not only will you receive immediate notifications on your mobile device, but you can also swiftly view the activities via your IP Camera.

 How It Works:

1. Motion Detection: An infrared sensor placed discreetly in your driveway detects any movement.
2. Wireless Signal: Upon detecting motion, the sensor sends a wireless signal to a receiver inside your home.
3. Sound Alert: The receiver produces a loud doorbell sound when it gets the signal.
4. Microphone Sensing: An Arduino board, equipped with a microphone sensor, listens for this doorbell sound.
5. Email Notification: Once the Arduino recognizes the doorbell sound, it sends an email or SMS notification to your mobile device via SMTP.
6. Visual Indicator: An LED on the Arduino board illuminates to visually confirm the alarm trigger.

Features:

• WiFi Connectivity: The system seamlessly connects to your WiFi router, ensuring smooth communication.
• Logging: Every alert instance is logged on an SD card, so you have a record of all activity.
• Software: The software backbone of our system is written in the reliable C programming language.
• Instant IP Cam Access: With the notification received on your mobile device, you can quickly access your IP Camera to view the situation.

Setup:

1. Install the Infrared Sensor: Position the sensor at a suitable location in your driveway.
2. Set up the Receiver: Plug in the receiver inside your home, preferably close to the Arduino board.
3. Arduino Configuration: Connect the microphone sensor, LED, and SD card module to the Arduino board. Ensure the board is also connected to your WiFi router.
4. Software Setup: Upload the C code to the Arduino. This software will handle the logic of listening for the doorbell sound, triggering the LED, sending email notifications, and logging data on the SD card.
5. Notification Configuration: Input your email or phone number in the provided section of the software to receive notifications.

Benefits:

• Peace of Mind: Know instantly when there's activity in your driveway, even if you're miles away.
• Enhanced Security: Quickly view the scene via your IP Camera after receiving an alert.
• Detailed Logging: Maintain a history of all alerts on the SD card.

Whether you're waiting for an important delivery or ensuring the security of your home, our Arduino Driveway Alert System provides a robust solution to keep you informed and in control. The seamless integration of hardware and software ensures reliability, while the easy setup means you can have peace of mind in no time.

Overview:

Our Arduino Power Loss/Restore Monitoring System offers a reliable way to stay informed about power outages and restorations at remote locations, ensuring you're always aware of the status of your grid power. This system uses the United Security PLS Power Loss Sensor, connected to an Arduino, to send real-time email alerts via your tablet’s cellular hotspot. Perfect for monitoring locations without an automatic standby generator, this setup ensures you are notified of any power interruptions and restorations, allowing you to take immediate action if necessary.

How It Works:

1. Power Loss Sensor: The United Security PLS Power Loss Sensor is a corded AC relay module with Normally Closed (N.C.), Normally Open (N.O.), and Common terminals.
2. Arduino Integration: The N.O. terminal is connected to Arduino pin 2, and the Common is grounded. Pin 2 is initialized with a pullup resistor, making the pin HIGH when the grid power is on.
3. Hourly Monitoring: The system checks the power status every hour. When power is on, Arduino pin 2 remains HIGH, indicating "AC Power is ON". An email notification confirming the power status is sent once a day.
4. Power Loss Detection: If power is lost, the relay circuit closes, grounding pin 2 and driving it LOW, indicating that power has been lost. The system sends an immediate email alert via SMTP.
5. Power Restore Detection: When the power is restored, pin 2 goes HIGH again, triggering another email to notify you of the power restoration.
6. Continuous Monitoring During Outage: During a power outage, the system sends a notification every hour until power is restored, allowing you to monitor the duration of the outage.

Key Features:

• Cellular Hotspot Connectivity: The Arduino is connected to your tablet’s cellular hotspot, ensuring uninterrupted email notifications even during a power outage when the Wi-Fi router goes down.
• Real-Time Alerts via SMTP: When power is lost or restored, you receive an email alert, helping you stay informed about power status at remote locations.
• Hourly Updates: In the event of a power outage, the system sends hourly alerts to keep you updated on the outage duration.
• Daily Status Notification: Even when power is normal, you’ll receive a daily email confirming that the system is operational.

Benefits:

• Stay Informed During Outages: Receive instant notifications of power loss, helping you take immediate action if necessary.
• Remote Monitoring: Ideal for locations without an automatic standby generator or places where immediate attention may be required during power loss.
• Reliable Communication: Using a cellular hotspot instead of a WiFi connection ensures that email alerts are sent, even if the WiFi router fails during a power outage.
• Customizable Setup: While this design leverages an email alert system through cellular data, alternative communication methods like Bluetooth can be implemented with additional middleware if desired.

Setup:

1. Connect the Power Loss Sensor: Wire the PLS Power Loss Sensor to the Arduino. Connect the N.O. terminal to Arduino pin 2 and the Common terminal to ground.
2. Configure Arduino Pin 2: Initialize pin 2 with an internal pullup resistor to keep it HIGH when the power is on.
3. Program the Arduino: Upload the Arduino code to manage the relay status and send email alerts via SMTP when a power loss or restoration occurs.
4. Set Up Cellular Hotspot: Ensure the Arduino connects to your tablet’s cellular hotspot to maintain internet connectivity during power outages.
5. Email Notification Setup: Configure the Arduino to send email notifications through your email account, ensuring you receive alerts on your mobile device.

Conclusion:

This Arduino-based Power Loss/Restore Monitoring System is a robust and reliable way to monitor power status in remote locations. By utilizing the United Security PLS Power Loss Sensor and Arduino's ability to send email alerts via a tablet’s cellular hotspot, you’ll always stay informed during power outages, allowing for timely intervention and peace of mind.

Overview:

Our Home Furnace Monitoring System is a smart solution that ensures you're always in the know about your furnace's activity and health. Using cutting-edge flame sensing and audio recognition technology, this system keeps a meticulous record of when your furnace activates, for how long, and the resulting temperature changes. This real-time data is invaluable for understanding energy usage patterns, and for spotting any potential furnace issues before they become serious problems.

How It Works:

1. Flame Detection: A flame sensor placed near your furnace's pilot light detects the ignition of the flame when the furnace kicks on.
2. Sound Detection: The system's microphone and sound module listen for the distinct sound of your furnace's circulation pumps or fans starting up.
3. Temperature Monitoring: As the furnace operates and the temperature rises, the system monitors and logs this temperature data.
4. End Time Recording: Once the pilot light extinguishes, marking the furnace's shutdown, the system records this end time.
5. Email Notification: With the cycle complete, the system sends an email containing vital information such as start/end times, temperature data, and optional sensor readings.

Features:

• Detailed Reporting: Receive an email with start and end times, showing you precisely how long your furnace operated during each cycle.
• Temperature Tracking: Understand the efficiency of your heating system by monitoring the temperature rise during each cycle.
• System Health Monitoring: By studying how frequently your furnace activates, especially in relation to outside temperatures, you can get insights into its health and efficiency.
• Historical Data Analysis: Use the email data to graph and analyze the correlation between outside temperatures and furnace activity.

Benefits:

• Energy Efficiency Insights: By comparing outside temperatures to furnace activity, homeowners can make informed decisions about insulation, thermostat settings, and more.
• Early Warning System: If the furnace activates too frequently, shuts off prematurely, or doesn't produce an adequate temperature rise, these can be early signs of malfunction or inefficiency.
• Financial Savings: Spotting and addressing furnace issues early can prevent expensive repairs or replacements down the line.
• Peace of Mind: Knowing the state of your furnace's health allows homeowners to feel secure and prepared, especially during colder months.

Setup:

1. Position the Flame Sensor: This sensor should be placed in close proximity to the furnace's pilot light.
2. Install the Microphone and Sound Module: This should be situated where it can easily detect the sound of the furnace's pumps or fans.
3. Temperature Monitoring: Integrate a temperature sensor to the system to record ambient temperature changes.
4. Notification Configuration: Set up your email address within the system software to receive furnace activity notifications.
5. Software Integration: Upload the C code to the Arduino, ensuring it integrates all modules and handles data logging, email notifications, and sensor readings effectively.

Harness the power of real-time data to optimize your home's heating efficiency and safety. Whether you're a homeowner looking to save on energy costs, or simply wanting to ensure the well-being of your household, our Furnace Monitoring System offers comprehensive insights and peace of mind.

Overview:

The Propane House Generator Monitoring System is a state-of-the-art solution designed to provide homeowners with real-time insights into their generator's operational health. Using an innovative combination of shaker sensors and temperature monitoring, this system not only confirms the weekly "wake-up" tests of the generator but also ensures the monitoring system itself remains operational. Additional safety is provided with optional CO (carbon monoxide) sensor integration, making it a comprehensive monitoring solution.

How It Works:

1. Shaker Sensor Activation: As the generator initiates its start-up, a shaker sensor detects the initial movement.
2. Subsequent Turnovers: The shaker sensor continues to monitor and can discern when the generator turns over for the second time and when it reaches a constant running state.
3. Weekly Wake-up Test Monitoring: The system keeps track of these wake-up tests, ensuring they occur weekly as proof of the generator's reliability.
4. Daily System Test: The Arduino setup conducts a daily self-test to confirm the monitoring system's functionality.
5. Temperature and CO Monitoring: The heat sensor observes any unusual rise in temperature, while the optional CO sensor is on standby to detect any harmful carbon monoxide emissions.

Features:

• Start-Up Detection: Real-time feedback on the generator's initial and subsequent start-ups.
• Reliability Confirmation: Regular tracking of the generator's weekly wake-up tests ensures its readiness for power outages.
• Self-Monitoring: The system conducts daily tests to guarantee its operational integrity.
• Safety Alerts: Inbuilt temperature sensors detect any abnormal heat, and the optional CO sensor warns of any carbon monoxide dangers.

Benefits:

• Peace of Mind: Rest easy knowing that your backup power source is routinely tested and ready to kick in when needed.
• Safety First: The system's temperature and CO monitoring offer an extra layer of protection against potential hazards.
• Maintenance Reminder: If the weekly wake-up test is missed, homeowners can be alerted to check on the generator's condition.
• Daily Reliability: The daily self-test ensures that the monitoring system is always in working order, so you're never caught off guard.

Setup:

1. Install the Shaker Sensor: This sensor should be securely attached to the generator to accurately detect its movements.
2. Integrate the Temperature Sensor: Position this sensor in a location where it can best monitor the generator's heat output.
3. (Optional) Set up the CO Sensor: If utilizing the CO detection feature, install the CO sensor near the generator's exhaust or in an area where gas build-up could occur.
4. Notification Configuration: Input your preferred contact method into the system software to receive alerts and updates.
5. Software Integration: As with the previous systems, upload the tailored C code to the Arduino. This code will coordinate all sensors, handle data logging, and manage alert notifications.

With the Propane House Generator Monitoring System, homeowners are granted an unprecedented level of awareness regarding their backup power source's health and safety. In times of uncertainty or unexpected power outages, this system stands as a beacon of reliability and peace of mind.

 Overview: 

Introducing our cutting-edge monitoring solution for on-demand hot water systems and heating furnaces. This project leverages the power of Arduino Nano 33 BLE, TinyML, and camera technology to provide an intelligent anomaly detection system. It ensures your appliances operate safely and efficiently by constantly monitoring and analyzing their digital displays.

How It Works:

1. Real-Time Monitoring: The system uses a camera to continuously observe the digital display of your hot water system and heating furnace.
2. Anomaly Detection with TinyML: The embedded machine learning model, running on the Arduino Nano 33 BLE, is trained to identify anomalies by analyzing the camera's images.
3. Dataset and Training: We utilize a comprehensive dataset of digital display images, labeled as "normal" and "abnormal", to train our TinyML model. This dataset encompasses a wide range of possible operational conditions and events.
4. Email Alerts via SMTP: Upon detecting an anomaly, the system sends an immediate email alert detailing the nature of the issue.
5. Automated Responses: Depending on the anomaly detected, the system can initiate several actions, such as shutting down the system, triggering a valve relay shutoff, or addressing overload, excessive heat, or vibration issues.

Features:

• Continuous Digital Display Monitoring: Our camera setup constantly watches the digital displays for any signs of irregularities.
• Advanced Anomaly Detection: Utilizing TinyML, the system quickly identifies any deviations from normal operational patterns.
• Immediate Alert System: Receive email alerts as soon as an anomaly is detected, allowing for rapid response.
• Automated Safety Actions: The system can automatically trigger safety mechanisms in response to specific types of anomalies.
• Arduino Nano 33 BLE: This compact yet powerful low power consumption microcontroller is ideal for handling machine learning applications in small-scale devices.

Benefits:

• Enhanced Safety: Early detection of anomalies can prevent hazardous situations.
• Peace of Mind: Constant monitoring offers reassurance that your heating systems are functioning correctly.
• Energy Efficiency: Identifying and addressing anomalies can improve the efficiency of your appliances.
• Reduced Maintenance Costs: Early detection of issues can lead to less expensive repairs and longer appliance lifespans.

Setup:

1. Install the Camera: Position it to have a clear, uninterrupted view of the appliance's digital display.
2. Configure the Arduino Nano 33 BLE: Set up the Arduino board with the necessary software and connect it to the camera.
3. Load and Train the TinyML Model: Implement the TinyML model with your dataset, training it to recognize a range of normal and abnormal conditions.
4. Set Up Email Notifications: Integrate SMTP protocol within the Arduino setup to enable sending email alerts.
5. Automated Response Configuration: Program the system to perform specific actions, like shutting down or triggering alarms, when certain anomalies are detected.

This Arduino-based Smart Monitoring System represents a significant leap forward in home appliance safety and efficiency. By harnessing the power of TinyML and the Arduino Nano 33 BLE, we can ensure that your on-demand hot water system and heating furnace operate smoothly, safely, and efficiently at all times.