Next‑Gen EO/IR Surveillance Powered by AI/ML for a Major Indian PSU
For a large Indian Public Sector Undertaking (PSU) operating in mission‑critical environments, ALTEN India developed an advanced AI/ML-powered real-time surveillance application designed to deliver accurate monitoring. Leveraging EO/IR sensor integration, GPU-accelerated processing, and intelligent detection algorithms built using Python, TensorFlow, C++, and CUDA, the solution provides high‑precision aerial object analysis regardless of lighting or weather conditions. This end‑to‑end system enhances situational awareness, automates operational workflows, and ensures reliable day-and-night performance offering a scalable, future-ready surveillance platform aligned with the PSU’s modernization and security objectives.
Challenge:
Modern surveillance applications require continuous and highly accurate monitoring across dynamic and complex environments. Traditional systems often struggle to deliver real-time detection, particularly under varying lighting conditions and across large operational areas. This creates a need for intelligent systems capable of efficiently detecting and identifying aerial objects using multi-sensor inputs.
Solution:
An advanced AI/ML-based surveillance application was developed, leveraging GPU-accelerated computing to process electro-optical/infrared (EO/IR) sensor data in real time. The solution integrates sophisticated algorithms for the detection and identification of aerial objects across diverse environments.
The system architecture includes modules for image acquisition, preprocessing, object detection, post-processing, and display interfacing. It is powered by a robust technology stack including Python, TensorFlow, C++, and CUDA, enabling high-performance processing and seamless integration with existing platforms.
Benefits
- High-precision detection and identification of aerial objects through advanced image and video analytics
- Enhanced situational awareness for operators
- Reliable performance across both day and night conditions
- Improved operational efficiency through automated analytics
- Scalable and reusable AI/ML framework adaptable for future applications
Knowledge Where It Counts
By combining strong domain expertise with cutting-edge AI/ML technologies, this solution delivers a robust and intelligent surveillance capability. It demonstrates the effectiveness of real-time analytics and embedded systems in complex environments—ensuring accuracy, reliability, and operational excellence.
Tools & Technologies Used:
- Embedded C, C++ | Python/TensorFlow| Linux/Gstreamer/CUDA