AI Solution

Overview:

In today's rapidly evolving technological landscape, the demand for real-time, accurate, and efficient object detection is higher than ever. We have developed robust AI-powered object detection solutions tailored for real-time, high-accuracy inference on edge devices. Our systems are built upon NVIDIA Jetson modules, integrated with high-performance imaging hardware and accelerated by NVIDIA’s advanced AI software stack—resulting in low-latency, high-FPS, and highly accurate detections, even at long distances.

Advanced Hardware Integration:

Our object detection pipeline leverages cutting-edge NVIDIA Jetson modules, specifically the Jetson Xavier NX and Jetson Orin NX, paired with high-performance imaging systems.

1. Sony FCB-ER8530 + NVIDIA Jetson Xavier NX

Our first configuration features the integration of the Sony FCB-ER8530 4K block camera with the Jetson Xavier NX:

Camera Interface: HDMI-to-MIPI solution enables seamless, high-quality video input
Image Capabilities: 4K HDMI Output (3840x2160 @ 30fps), 20x Optical Zoom, 12x Digital Zoom
Connectivity: Compact 30-pin coaxial connector for efficient integration
Driver Integration: Custom V4L2 (Video4Linux2) compliant driver is used to interface the HDMI-to-MIPI video bridge with the Jetson platform, enabling seamless streaming via /dev/video* nodes.
AI Compute: Jetson Xavier NX delivers up to 21 TOPS, perfect for real-time, full-HD object detection pipelines

2. LVDS Block Camera (FCB-EV9500L / FCB-EV9520L) + NVIDIA Jetson Orin NX

The second configuration focuses on long-range inference and performance-heavy applications with:

Camera Interface: LVDS-to-MIPI bridge for secure, noise-immune high-speed data transfer
Image Capabilities: 30x Optical Zoom, Digital LVDS Output (Y/Pb/Pr 4:2:2)
Driver Integration: A custom CSI camera driver was developed and integrated into the Linux kernel device tree to enable proper MIPI CSI-2 communication, exposing the stream through standard V4L2 APIs for compatibility with GStreamer, OpenCV, and DeepStream.
Connectivity: 30-pin coaxial camera interface
AI Compute: The Jetson Orin NX, with up to 32 TOPS, delivers massive performance gains for advanced computer vision tasks

A comprehensive suite of FCB camera-control features - Far, Near, and one-push focus; zoom; auto-tracing and one-push white balance; freeze/unfreeze; exposure (auto, shutter, iris, compensation reset, spot auto, low-light brightness); defog and aperture adjustments; ICR and auto ICR and colour gain works together to sharpen distant targets, capture fine detail, and ultimately enhance the accuracy and reliability of object-detection algorithms. This setup is optimized for long-distance object detection, with minimal signal degradation and ensuring dependable inference in demanding environments.

Powered by NVIDIA’s AI Ecosystem

To maximize efficiency and accuracy, our solutions harness NVIDIA’s comprehensive AI software stack, including:

Jetson-Inference: For simple, high-performance deployment of classification and detection models.
DeepStream SDK: For multi-stream video analytics with real-time metadata extraction and rendering.
TensorRT: For model optimization, achieving <30ms latency and up to 45 FPS throughput on supported models Together, these frameworks empower our systems to process complex visual data in real-time while minimizing resource consumption—crucial for deployment in embedded and edge environments.

Results: High Performance, Real-Time Object Detection

With optimized hardware and software integration, our object detection pipeline achieves:

45 FPS inference performance.
Sub-30ms latency per frame.
Clear and stable image streaming, even at 4K resolutions.
Multi-stream video analytics with smooth, responsive detections.
High zoom precision with long-range target detection.
Noise-resistant signal transmission via coaxial and LVDS-MIPI bridge designs This makes our solutions ideal for mission-critical applications such as smart surveillance, traffic monitoring, robotics, and autonomous systems.

End-to-End Services for Object Detection

We offer comprehensive, end-to-end AI services that include:

Deployment across a wide range of edge computing platforms – including Google Coral, iMX8M Plus, Intel Neural Compute Stick, Raspberry Pi 5, Hailo-8 AI Processor, Rockchip RK3568 and other AI accelerated SOMs.
Model training and optimization tailored to custom dataset and application.
Integration with edge devices and camera systems.
Deployment using TensorRT, DeepStream, OpenVINO, HailoRT.
Support for Popular frameworks like TensorFlow, TensorFlow-Lite, PyTorch and ONNX.
Performance tuning to achieve minimal latency and maximum throughput By aligning state-of-the-art AI capabilities with hardware-accelerated inference, our solutions deliver consistent performance, low power consumption, and scalability for diverse real-world applications.