IntelliSpace: The Future of Smart Campus Automation | IJCT Volume 13 – Issue 2 | IJCT-V13I2P42
International Journal of Computer Techniques
ISSN 2394-2231
Author
Dr P GaneshKumar, Suriya N, Vimal Adithan K, Santhos K S, Nithesh M
Abstract
Traditional educational campuses face significant operational challenges due to inefficient, manual resource management and excessive energy consumption. Maintaining high-level security requires constant real-time surveillance and restricted access control, which is difficult to scale manually. Furthermore, upgrading to smart surveillance typically relies on expensive cloud AI subscriptions to process video feeds and detect anomalies. IntelliSpace addresses these issues by implementing a Smart Campus Automation System at K.L.N. College of Engineering using advanced IoT and Edge AI technologies. It eliminates cloud dependency by utilizing devices like Google Coral and Raspberry Pi to perform lightweight, on-device AI processing for real-time face and anomaly detection directly from IP cameras. The system automates campus lighting, appliances, and HVAC systems through smart modules, drastically reducing manual intervention and promoting energy savings. A 3D Digital Twin dashboard visually updates room statuses in real time using IoT sensor data. Enhanced with biometric access, offline voice commands, LoRa-based communication, and solar-powered UPS systems, IntelliSpace creates a highly secure, sustainable, and scalable environment.
Keywords
Smart Campus, IoT, Edge AI, Google Coral, Raspberry Pi, Digital Twin, HVAC Automation, Biometric Access, LoRa Communication, Face Detection, Energy Management, Automated Gate Monitoring.
Conclusion
IntelliSpace successfully demonstrates that a fully integrated, cloud-independent smart campus automation system is technically feasible and practically impactful. By combining Edge AI, IoT automation, biometric security, LoRa communication, and 3D digital twin visualization, the system addresses the core challenges of traditional campus management — energy inefficiency, inadequate security, and lack of real-time operational visibility — in a cost-effective and scalable manner.
The project validates the use of affordable edge computing hardware (Google Coral, Raspberry Pi, ESP32) as a viable alternative to expensive cloud AI subscriptions for real-time campus surveillance and automation. The 3D Digital Twin dashboard provides an intuitive, centralized interface for facility managers, while automated gate monitoring enhances vehicular access control without manual intervention.
IntelliSpace exemplifies SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 11 (Sustainable Cities and Communities) by integrating advanced technology into everyday campus operations to create a safer, smarter, and more sustainable educational environment.
References
[1] Kumar et al., “IoT-Based Smart Building Automation Using Raspberry Pi,” IEEE IoT Journal, 2020.
[2] Zhao et al., “Edge Computing for Real-Time Video Analytics in Smart Campuses,” IEEE Access, 2021.
[3] Singh & Patel, “Digital Twin for Smart Building Management,” Elsevier, 2021.
[4] Li et al., “Automatic Number Plate Recognition for Campus Gate Management,” Springer, 2022.
[5] Mehta & Sharma, “LoRa-Based IoT Networks for Smart Campus Communication,” IEEE Sensors Journal, 2022.
[6] Arjun et al., “Biometric Access Control Systems: A Review,” International Journal of Engineering, 2023.
[7] Google Coral Team, “Coral Edge TPU Documentation,” Online Resource, 2024. [Online]. Available: https://coral.ai
[8] TensorFlow Team, “TensorFlow Lite for Microcontrollers,” Online Resource, 2024. [Online]. Available: https://www.tensorflow.org/lite
[9] Eclipse Foundation, “Mosquitto MQTT Broker Documentation,” Online Resource, 2024. [Online]. Available: https://mosquitto.org
[10] Three.js Community, “Three.js Documentation and Examples,” Online Resource, 2024. [Online]. Available: https://threejs.org
How to Cite This Paper
Dr P GaneshKumar, Suriya N, Vimal Adithan K, Santhos K S, Nithesh M (2026). IntelliSpace: The Future of Smart Campus Automation. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
Related Posts:
