SmartSecure Vault : Hybrid Authentication and Surveillance Locker System

SmartSecure Vault: Hybrid Authentication & Surveillance Locker System AI-Powered ESP32 + Agentic IoT + n8n Automation + Telegram Voice Alerts + Cloud Dashboard

SmartSecure Vault: Hybrid Authentication & Surveillance Locker System AI-Powered ESP32 + Agentic IoT + n8n Automation + Telegram Voice Alerts + Cloud Dashboard 1. Project Overview Project Title SmartSecure Vault – Hybrid Authentication and Surveillance Locker System Abstract SmartSecure Vault is an advanced AI-powered smart locker system using an ESP32 integrated with: Hybrid authentication Intrusion surveillance IoT cloud monitoring AI-based analytics Telegram voice alert notifications Automated workflows using n8n Cloud storage using Google Sheets Real-time dashboard using ThingSpeak The system provides: RFID/PIN/Biometric authentication Motion-based intrusion detection AI power consumption prediction Smart alerts with voice notifications Remote monitoring dashboard Automated incident logging 2. Key Features Security Features RFID authentication PIN-based access Face/Fingerprint support (optional) Servo-controlled locker Buzzer alarm system Intrusion detection Surveillance Features PIR motion sensor ESP32-CAM live image capture Telegram image alerts Voice alert generation IoT & Cloud Features Cloud dashboard monitoring Google Sheets data logging Real-time analytics Remote notifications AI & Automation Features AI-based anomaly detection Power consumption prediction Smart automation using n8n workflows Agentic IoT behavior 3. Components List Component Quantity Purpose ESP32 Dev Board 1 Main controller ESP32-CAM 1 Surveillance camera RFID RC522 Module 1 Card authentication Servo Motor SG90 1 Locker lock mechanism 4x4 Keypad 1 PIN entry PIR Motion Sensor 1 Intrusion detection OLED/LCD Display 1 Status display Buzzer 1 Alarm Relay Module 1 External control Fingerprint Sensor (optional) 1 Biometric access LEDs 2 Status indication Power Supply 5V 1 System power Jumper Wires — Connections Breadboard/PCB 1 Assembly 4. System Architecture +----------------------+ | User Access | | RFID / PIN / Finger | +----------+-----------+ | v +----------------+ | ESP32 | +-------+--------+ | +--------------+--------------+ | | v v +-----------+ +-------------+ | Servo Lock| | ESP32-CAM | +-----------+ +-------------+ | v Telegram Alerts ESP32 → WiFi → n8n | +--------------------------+----------------------+ | | | v v v Google Sheets ThingSpeak Dashboard AI Agent 5. Circuit Schematic Diagram ESP32 Pin Connections Module ESP32 Pin RC522 SDA GPIO 5 RC522 SCK GPIO 18 RC522 MOSI GPIO 23 RC522 MISO GPIO 19 RC522 RST GPIO 22 Servo Signal GPIO 13 PIR OUT GPIO 27 Buzzer GPIO 14 Relay IN GPIO 26 OLED SDA GPIO 21 OLED SCL GPIO 22 Keypad Rows GPIO 32–35 Keypad Columns GPIO 25,33,4,15 6. Working Principle Authentication Flow User scans RFID card or enters PIN. ESP32 validates credentials. If authenticated: Servo unlocks locker. Event logged to cloud. If invalid: Alarm activates. Telegram alert sent. Intrusion Detection PIR sensor detects movement. ESP32-CAM captures image. n8n workflow triggers: Telegram notification Voice alert Google Sheets logging ThingSpeak update 7. Flowchart START | v Initialize ESP32 | v Connect to WiFi | v Wait for Authentication / \ Valid Invalid | | v v Unlock Locker Trigger Alarm | | v v Log Data Send Alert | | +--------+---------+ | v Monitor Sensors | v Intrusion? / \ Yes No | | v | Capture Image| | | Send Telegram| Alert & Log | | | +------+ | END 8. ESP32 Source Code (Arduino IDE) #include #include #include const char* ssid = "YOUR_WIFI"; const char* password = "YOUR_PASSWORD"; Servo lockerServo; #define PIR_PIN 27 #define BUZZER 14 String webhookURL = "YOUR_N8N_WEBHOOK"; void setup() { Serial.begin(115200); pinMode(PIR_PIN, INPUT); pinMode(BUZZER, OUTPUT); lockerServo.attach(13); WiFi.begin(ssid, password); while(WiFi.status() != WL_CONNECTED){ delay(500); Serial.print("."); } Serial.println("WiFi Connected"); } void sendAlert(String type){ if(WiFi.status()== WL_CONNECTED){ HTTPClient http; http.begin(webhookURL); http.addHeader("Content-Type", "application/json"); String payload = "{\"event\":\"" + type + "\"}"; int httpResponseCode = http.POST(payload); Serial.println(httpResponseCode); http.end(); } } void loop() { int motion = digitalRead(PIR_PIN); if(motion == HIGH){ digitalWrite(BUZZER, HIGH); sendAlert("INTRUSION"); delay(5000); digitalWrite(BUZZER, LOW); } delay(1000); } 9. n8n Workflow Automation Workflow Features Receive ESP32 webhook Analyze event Send Telegram text Convert text-to-speech Send voice alert Store logs in Google Sheets Push data to ThingSpeak n8n Workflow Steps Nodes Webhook Node IF Condition Node Telegram Node HTTP Request Node (TTS API) Google Sheets Node ThingSpeak HTTP Node AI Agent Node Sample Workflow Logic { "event": "INTRUSION", "timestamp": "2026-05-28", "status": "ALERT" } 10. n8n Workflow JSON (Basic) { "nodes": [ { "name": "Webhook", "type": "n8n-nodes-base.webhook" }, { "name": "Telegram", "type": "n8n-nodes-base.telegram" }, { "name": "Google Sheets", "type": "n8n-nodes-base.googleSheets" } ] } 11. Telegram Bot Setup Step 1: Create Bot Open Telegram and search: Telegram Use: BotFather Commands: /start /newbot Save: Bot Token Chat ID Step 2: Add Telegram Node in n8n Use: Bot token Chat ID Enable: Send Message Send Voice Send Image 12. Google Sheets Integration Create Sheet Columns Timestamp Event Status User n8n Google Sheets Setup Connect Google account Select spreadsheet Use Append Row operation Logged data: Intrusion alerts Access attempts Power usage AI predictions 13. ThingSpeak Cloud Dashboard Setup Create Channels Fields: Temperature Motion Status Locker State Power Usage Security Score ESP32 API Format https://api.thingspeak.com/update?api_key=YOUR_KEY&field1=1 14. AI Power Consumption Prediction Logic Objective Predict abnormal power usage indicating: Tampering Forced entry Hardware faults AI Logic Inputs Servo activity Camera runtime Motion events WiFi transmission count Prediction Formula P=VI Estimated Consumption E=P×t Simple AI Rule Engine if power_usage > threshold: alert = "Abnormal Usage" 15. Voice Notification Automation Process ESP32 triggers webhook n8n receives event AI generates message TTS converts text to voice Telegram sends audio alert Example Alert Warning! Unauthorized access detected in SmartSecure Vault. 16. Security Enhancements Recommended Improvements AES encryption MQTT secure communication JWT authentication Edge AI anomaly detection Face recognition Cloud backup 17. Future Enhancements AI Features Behavioral analytics AI facial recognition Voice authentication Predictive maintenance IoT Features Mobile app Remote unlock GPS tracking Battery backup monitoring Cloud Features AWS IoT integration Firebase sync Real-time analytics 18. Deployment Guide Hardware Deployment Use PCB instead of breadboard Install backup battery Use metal enclosure Add cooling vents Software Deployment Host n8n on VPS/Raspberry Pi Enable HTTPS Secure APIs Configure OTA updates 19. Applications Bank lockers Office cabinets Smart homes Industrial storage Pharmacy vaults Data center racks 20. Advantages Low cost Real-time monitoring AI-powered automation Cloud analytics Remote security alerts Scalable architecture 21. Conclusion SmartSecure Vault combines: Embedded systems IoT automation AI analytics Cloud computing Smart surveillance to create a next-generation intelligent locker system capable of autonomous monitoring, security enforcement, and predictive analysis. Useful Platforms ESP32 Documentation n8n Official Website ThingSpeak IoT Cloud Telegram Bot API Google Sheets API