UHF RFID Based Student Attendance Gate System (IoT + Cloud Integration)

Job ID: 39936661

Budget: $30 – $250 USD

Here’s a **perfectly optimized project posting draft** for **Freelancer.com**, designed to attract skilled engineers and keep costs low

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### **Project Title:**

**UHF RFID Based Student Attendance Gate System (IoT + Cloud Integration)**

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### **Project Description:**

We are looking for an experienced **IoT hardware developer or embedded engineer** to design and build a **UHF RFID-based automatic student attendance gate system** for schools in **India**.

The system should **automatically detect students when they walk through the gate**, without needing to tap a card or scan manually. The device will then **send attendance data to our cloud server** via WiFi or GSM.

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###**Project Requirements:**

**Core Features:**

1. **UHF RFID Reader (long range)** – to detect student tags (3–6 meters).
2. **RFID Tags (UHF cards or keychains)** – for each student.
3. **Microcontroller or SBC** – such as ESP32, Raspberry Pi, or Arduino-compatible board.
4. **Connectivity** – WiFi or GSM (SIM module) to send data to cloud API (we’ll provide API).
5. **Power Supply** – 12V DC or battery-based with solar option (optional).
6. **Casing/Stand Design** – slim and weatherproof gate-type stand for school entrances.
7. **Data Format:** JSON or HTTP POST to cloud API with Tag ID, DateTime, and Device ID.

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### **Expected Deliverables:**

1. Working prototype (hardware + firmware).
2. Schematic diagram and BOM (list of components with model numbers).
3. 3D enclosure design (optional, if available).
4. Source code and documentation.
5. Guidance for mass production setup (target ₹4,000–₹5,000 per unit).

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### **Preferred Skills:**

* IoT & Embedded Systems
* RFID (UHF, EPC Gen2 standard)
* PCB Design (Altium / KiCad)
* ESP32 or similar microcontroller experience
* GSM/WiFi data transmission
* Cloud API Integration

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### **Additional Info:**

* Deployment target: Indian schools (outdoor use, high student volume).
* Cost-effective design preferred.
* Future plan: integrate AI-based face detection for next version.

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