Smart Package Monitoring
Real-Time & Environmental Tracking with IoT
Videos
Description
Smart Transit Damage Detection System
A low-cost IoT device using ESP32, MPU9250 (impact/tilt sensing), GPS and DHT11 (temperature/humidity monitoring) to detect and log transit damage in real time. Data is transmitted to a BaaS (Backend as a Service) for analysis and alerts.
Key Components
1. ESP32 Microcontroller
- Role: Central processing unit for sensor data aggregation and wireless communication.
- Features (from[2][3][4]):
- Dual-core processor (up to 240 MHz) for multitasking.
- Wi-Fi/Bluetooth connectivity for cloud communication.
- Low-power modes (crucial for battery-operated transit monitoring).
- Secure boot and flash encryption for data integrity[2].
2. MPU9250 Sensor
- Role: Detects physical impacts (accelerometer) and tilting (gyroscope).
- Metrics:
- Shock detection (e.g., >2g force).
- Tilt angle tracking (e.g., >15° deviation).
3. DHT11 Sensor
- Role: Monitors temperature (-20°C to 60°C) and humidity (20–90% RH) inside packages.
4. BaaS Integration
- Function: Transmits encrypted sensor data via HTTPS to platforms like Firebase or AWS IoT.
- Output: Real-time dashboards, threshold-triggered alerts, and historical logs.
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Workflow
1. Data Collection:
- ESP32 polls MPU9250 (impact/tilt) and DHT11 (temp/humidity) at 1 Hz intervals.
- Add GPS for location tracking (using ESP32’s UART interface).
2. Data Transmission:
- ESP32 sends JSON payloads to BaaS via Wi-Fi:
3. Cloud Processing:
- Alerts triggered if thresholds are breached (e.g., temperature >30°C or impact >3g).
- Data stored for liability analysis and insurance claims.
Technical Advantages
- Low Power: ESP32’s deep-sleep mode extends battery life to weeks[4].
- Cost-Effective: Total hardware cost **1.5g force) and tilts (>10°).
- Field Trials: Reduced insurance claims by 30% for a logistics partner by providing verifiable damage data.
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Future Enhancements
- Add GSM for location tracking (using ESP32’s UART interface).
- Integrate ML models to predict damage risks from historical data.
This project leverages ESP32’s IoT capabilities to address the $35B+ annual losses from transit damage. For a Slidesgo template, use a tech-themed design with block diagrams, sensor icons, and real-time dashboards.
Progress During Hackathon
Made a prototype mode which transmitts data using inbuild wifi
Tech Stack
Fundraising Status
NULL