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Smart Spectacles

AI-powered smart spectacles with face recognition technology for law enforcement, real-time surveillance, and public safety applications.

An ESP32-based smart spectacles for law enforcement personnel with real-time situational awareness. We’ve used a compact camera (2MP–5MP) for capturing continuous video feeds of the surroundings; TCP/IP over Wi-Fi for wireless transmission of live data to a mobile app; AI algorithms, TensorFlow Lite & Google ML Kit for facial detection & recognition.

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AI-powered smart spectacles with face recognition technology for law enforcement, real-time surveillance, and public safety applications.

About Smart Spectacles

Designed for field officers and surveillance personnel, the smart spectacles offer hands-free monitoring and instant feedback. Built into standard spectacle frames, the compact & wearable hardware enables discreet operation and continuous usage. Primarily, a camera embedded within the spectacle frame continuously captures video feeds of the surroundings. Then, this live feed is wirelessly transmitted to a mobile application via TCP/IP over Wi-Fi, where AI-driven facial recognition algorithms identify individuals in real-time by comparing faces with entries in a criminal records database.

Also, the mobile companion app is responsible for AI processing, utilizing TensorFlow Lite and Google ML Kit for accurate face detection and recognition. If a match is found in the criminal database, the app instantly notifies the user. Additionally, the system architecture allows integration with existing smart city infrastructure, offering a modernized surveillance tool. The solution can also be adapted in other places like transport hubs, public events and security checkpoints.

Features & Purpose Of
This Application

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Face Recognition with AI: Real-time facial identification using pre-trained AI models

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Face Recognition with AI: Real-time facial identification using pre-trained AI models

Real-time AI face recognition system using TensorFlow Lite and Google ML Kit for instant facial identification and verification.
Smart spectacle frame with integrated 2MP–5MP camera module for continuous image capture and facial recognition.
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Integrated Camera Module: 2MP–5MP camera for accurate face & object capture

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Integrated Camera Module: 2MP–5MP camera for accurate face & object capture

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ESP32-Based Processing: Efficient, wireless-enabled microcontroller for video streaming

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ESP32-Based Processing: Efficient, wireless-enabled microcontroller for video streaming

ESP32-powered wearable device processing video data and enabling wireless communication for smart surveillance applications.
Wi-Fi-enabled smart glasses transmitting real-time video and facial recognition data using TCP/IP communication protocols.
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Wi-Fi Communication: TCP/IP sockets for fast and secure mobile data transfer

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Wi-Fi Communication: TCP/IP sockets for fast and secure mobile data transfer

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Mobile App Alerts: Android application handles face recognition & threat alerts

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Mobile App Alerts: Android application handles face recognition & threat alerts

Android mobile application receiving instant facial recognition results and threat alerts from AI-powered smart spectacles.
AI smart glasses designed for law enforcement officers, surveillance operations, suspect identification, and public safety monitoring.
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Law Enforcement Ready: Designed for police, public safety and surveillance use cases

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Law Enforcement Ready: Designed for police, public safety and surveillance use cases

Project Insight – Video Presentation

Youtube video

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  • Schematic design
  • PCB and schematic source files
  • Assembling drawing files
  • Providing prototype/sample and production PCB service
  • Testing and validation of designed hardware
  • HIPAA
  • Azure Key
  • Management
  • ES, Checksum,
  • MD5sum
  • AWS
  • Azure
  • GCP
  • DigitalOcean
  • Kotlin
  • Python
  • Tensorflow
  • Computer Vision
  • ECG
  • SPO2
  • Heart Rate
  • Glucometer
  • Blood Pressure
  • UX UI Process
  • Figma and FigJam
  • Adobe Suite
  • Selenium Java
  • Postman
  • Swagger
  • Jmeter
  • SQL
  • Java Scripter
  • Test ng
  • Extents Reports
  • Flutter
  • Java
  • Kotlin
  • Swift
  • Dart
  • React JS
  • Python
  • NodeJS
  • Django
  • HTML, CSS, JS
RDBMS
  • PostgreSQL
  • Oracle
  • MySQL
  • MariaDB
No SQL Based
  • MongoDB
  • GCP
  • FirestoreDB
  • DynamoDB
  • Azure
  • CosmosDB
  • AWS