Tech4Biz

Smart Surveillance Camera System with AI on Edge

Overview

Tech4Biz Solutions successfully developed an AI-powered Smart Surveillance Camera System leveraging the Qualcomm QCS610 chipset for real-time video analytics. The system is designed to provide advanced security features for smart city surveillance and home security applications, offering object detection, facial recognition, motion tracking, and anomaly detection directly on the edge device.

Project Background

With the increasing demand for smart security solutions, traditional cloud-based surveillance systems face challenges such as high latency, bandwidth usage, and privacy concerns. Tech4Biz Solutions aimed to overcome these issues by developing an edge-based surveillance system capable of processing video data locally while delivering intelligent insights in real-time.

Objective

The primary objectives of the project were to:

  • Develop a smart surveillance camera with AI on edge capabilities
  • Ensure real-time object detection and facial recognition without cloud dependency
  • Reduce bandwidth usage by processing video locally
  • Provide motion tracking and anomaly detection for enhanced security
  • Maintain low power consumption for continuous operation

Solution Architecture

Hardware Design

  • Chipset: Qualcomm QCS610 with integrated AI engine
  • Camera Module: 4K HDR camera with wide-angle lens
  • Connectivity: Wi-Fi, Bluetooth, and Ethernet
  • Power Supply: Low power consumption design for 24/7 operation
  • Storage: Onboard eMMC storage with cloud backup options

AI Features

  • Object Detection: Detects people, vehicles, and unattended objects
  • Facial Recognition: Identifies pre-registered faces for authorized access
  • Motion Tracking: Automatically tracks moving objects within the frame
  • Anomaly Detection: Recognizes unusual activities such as unauthorized access or loitering

Software Stack

  • AI Models: TensorFlow Lite optimized for Qualcomm Neural Processing Engine (NPE)
  • Edge Processing: Qualcomm AI Engine for real-time inference
  • Mobile App Integration: iOS and Android apps for remote monitoring
  • Data Encryption: AES-256 encryption for secure data storage and transmission
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Implementation

  • The hardware was designed using Altium Designer.
  • Custom AI models were trained using a combination of TensorFlow and Qualcomm NPE.
  • The camera firmware was developed using the Qualcomm Vision Intelligence Platform SDK.
  • Pilot testing was conducted across 50 locations including homes and city surveillance setups.

Results

  • Achieved 98% accuracy in object detection and facial recognition
  • Real-time video processing with latency under 200ms
  • Reduced bandwidth usage by 70% compared to cloud-based systems
  • Positive feedback from users on reliability and privacy compliance

Key Benefits

  • Edge-based AI processing without cloud dependency
  • Low latency and high accuracy
  • Privacy-focused architecture
  • Energy-efficient design for continuous operation
  • Scalable deployment for smart cities and homes

Conclusion

Tech4Biz Solutions’ Smart Surveillance Camera System provides a cutting-edge solution for modern security challenges by combining Qualcomm’s AI chipset with advanced video analytics. The system delivers real-time insights, enhances privacy, and reduces operational costs, making it an ideal choice for both smart cities and home security applications.

Future Roadmap

  • Integration of AI-based crowd behavior analysis
  • Expansion to thermal cameras for night surveillance
  • Cloud-based threat intelligence sharing
  • Voice-enabled control through smart home platforms
  • Global rollout in partnership with security service providers

For more information about this project or to explore partnership opportunities, please contact Tech4Biz Solutions.