AI Solutions
Real-time, high-accuracy object detection powered by NVIDIA Jetson and advanced imaging systems. Engineered for edge devices, robotics, and intelligent vision systems.
Overview
In today’s rapidly evolving technological landscape, the demand for real-time, accurate, and efficient object detection is higher than ever. Our AI-powered solutions are optimized for edge performance—delivering low latency, high-FPS, and reliable inference, even at long distances.
Sony + Jetson Xavier NX
Integration of Sony FCB 4K block cameras with Jetson Xavier NX delivers real-time Full HD object detection with up to 21 TOPS compute.
- HDMI-to-MIPI seamless video interface
- 4K@30fps output with 20× optical zoom
- Custom V4L2 driver for HDMI bridge
- Compact coaxial 30-pin connection
Sony + Jetson Orin NX
Designed for heavy-duty, long-range inference, Jetson Orin NX with Sony FCB cameras provides ultra-low latency and superior AI compute up to 100 TOPS.
- LVDS-to-MIPI and HDMI-to-MIPI high-speed bridges
- 30× optical zoom and digital LVDS output
- Custom CSI kernel driver for GStreamer & DeepStream
- Optimized AI pipeline with TensorRT and CUDA
Powered by NVIDIA AI Ecosystem
Our AI pipelines leverage NVIDIA’s complete suite of acceleration frameworks for deep learning, real-time analytics, and edge inference optimization.
DeepStream SDK
For multi-stream video analytics with real-time metadata extraction and rendering.
TensorRT
High-performance inference engine for deep learning models, providing sub-30ms latency and enhanced throughput on edge AI devices.
Jetson Inference
For simple, high-performance deployment of classification and detection models.
Results
45 FPS
Real-time inference performance
<30ms
Latency per frame
4K
Crystal-clear image streaming
Noise-Free
LVDS-MIPI high-speed bridge
End-to-End Services for Object Detection
- 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.