Artificial Intelligence
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
Edge Deployment
Deployment across a wide range of edge computing platforms including Google Coral, iMX8M Plus, Intel Neural Compute Stick, Raspberry Pi 5, Hailo-8, and Rockchip RK3568.
Model Training
Model training and optimization tailored to your custom datasets and specific application requirements.
System Integration
Seamless integration with edge devices, complex camera systems, and existing hardware infrastructure.
Inference Optimization
Deployment using TensorRT, DeepStream, OpenVINO, and HailoRT for maximum efficiency.
Framework Support
Support for popular frameworks like TensorFlow, TensorFlow-Lite, PyTorch, and ONNX.
Performance Tuning
Fine-tuning to achieve minimal latency and maximum throughput by aligning AI capabilities with hardware-accelerated inference.