You will get Production-Ready TensorRT YOLOv8 RTSP C++ Engine (Zero-Copy, Low CPU)
Rising Talent
Rising Talent
Project details
Attention Freelancers & Agencies: Stop wasting weeks fighting Python multi-threading bottlenecks, RTSP frame drops, and high CPU usage.
This is a production-ready, ultra-low-latency C++ Video Analytics Engine / SDK powered by NVIDIA TensorRT and YOLOv8, achieving 140+ FPS with zero-copy GPU post-processing. Wrap your own GUI (Qt, Web, Electron) around this robust backend and deliver your computer vision projects to your enterprise clients instantly!
Technical Highlights
Zero-Copy Pipeline: Frame decoding (FFmpeg), inference (TensorRT), and NMS post-processing are kept entirely inside GPU memory to bypass CPU bottlenecks.
Industrial Stability: Built-in auto-reconnect mechanism for unstable RTSP network streams.
Developer-Friendly Integration: No heavy C++ environment setup required for your main application; interact seamlessly via standardized network protocols (Standard Tier).
This is a production-ready, ultra-low-latency C++ Video Analytics Engine / SDK powered by NVIDIA TensorRT and YOLOv8, achieving 140+ FPS with zero-copy GPU post-processing. Wrap your own GUI (Qt, Web, Electron) around this robust backend and deliver your computer vision projects to your enterprise clients instantly!
Technical Highlights
Zero-Copy Pipeline: Frame decoding (FFmpeg), inference (TensorRT), and NMS post-processing are kept entirely inside GPU memory to bypass CPU bottlenecks.
Industrial Stability: Built-in auto-reconnect mechanism for unstable RTSP network streams.
Developer-Friendly Integration: No heavy C++ environment setup required for your main application; interact seamlessly via standardized network protocols (Standard Tier).
AI Development Type
Deep Learning, Software MaintenanceAI Tools
NVIDIA AI Platform, OpenCV, PyTorchAI Development Language
C++What's included
| Service Tiers |
Starter
$99
|
Standard
$699
|
Advanced
$9,999
|
|---|---|---|---|
| Delivery Time | 1 day | 7 days | 7 days |
Number of Revisions | 1 | 1 | 1 |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
About Jiuyang
Media Architect | WebRTC, FFmpeg & GStreamer | Low-Latency C++ Expert
Guangzhou, China - 5:01 pm local time
If your 4K streams are jittering on NVIDIA Jetson or your AI inference pipeline is struggling to maintain 30 FPS, you don't need a "full-stack" developer—you need an Architect who speaks the language of hardware.
With 14+ years of C++ mastery, I specialize in eliminating the bottlenecks that kill production-grade video systems. I don't just "write code"; I architect high-conformance, mission-critical infrastructure.
💎 Why Clients Hire Me for High-Stakes Projects:
Edge AI Performance (TensorRT & CUDA): I don’t just deploy models; I optimize them. I architect "AI Boxes" that handle real-time object detection and metadata extraction without dropping a single frame.
Zero-Copy Memory Management: Expert in V4L2 + DMA-BUF paths on Jetson. I eliminate CPU overhead by mapping hardware buffers directly from the camera to the Inference Engine—maximising hardware utilization.
Deep FFmpeg/Libav Internalist: Source-level troubleshooting of complex issues. Whether it's solving deadlocks in av_read_frame or optimizing swscale bottlenecks, I dive into the C source to fix what's broken.
Ultra-Low Latency Protocol Tuning: Fine-tuning WebRTC, SRT, RTSP, and WHIP/WHEP for 24/7 stability. I specialize in custom jitter buffer management and packet loss concealment (PLC) for unstable networks.
High-Concurrency Systems: Architecting lock-free, multi-threaded backends using Boost.Asio and Modern C++ to handle hundreds of concurrent 4K streams.
🛠 Technical Diagnostic Stack:
Languages: Modern C++ (11/14/17/20), CUDA.
Frameworks: FFmpeg, GStreamer, TensorRT, DeepStream, OpenCV.
Protocols: WebRTC (Janus/Mediamtx), SRT, SIP, RTP/RTCP, RTSP.
Platforms: NVIDIA Jetson (Orin/Xavier), Linux Kernel, Edge AI devices.
"If it’s a performance bottleneck, I can find it. If it’s an architectural flaw, I can fix it."
Available for Architectural Design, Performance Audits, and Complex Bug Fixing for Mission-Critical Systems.
Steps for completing your project
After purchasing the project, send requirements so Jiuyang can start the project.
Delivery time starts when Jiuyang receives requirements from you.
Jiuyang works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Alignment & Asset Delivery
We confirm your Linux/GPU setup. For Starter/Standard, we issue the compiled binaries & API docs. For Advanced, the full C++ CMake project is handed over.