Inspect any ONNX model in your browser
AI & computer vision development

We build computer vision systems that see, read, and decide.

Rizwan AI builds computer vision and deep learning systems that turn images and video into reliable, automated decisions. Built to run in production on cloud, on-prem, or edge devices.

Get in touchONNX VisualizerRead the blog

Free computer vision tools and ONNX model analyzer

Explore an ONNX model, draw zones for a camera feed, audit a vision dataset, run YOLO26 on your webcam, or redact a video. Start in your browser or install an app on your own machine; no account required.

Browser tool

ONNX Visualizer & Model Inspector

View, analyze and inspect ONNX models with architecture diagrams

  • Health, optimisation and runtime-compatibility analysis
  • Visualize the neural network graph; benchmark and diff models
  • Export architecture diagrams as PNG, SVG, AVIF, JPG or animation
Open the visualizer Any modern browser · Nothing to install
Desktop appNew

Redact

Hide faces and objects in video, on your device

macOSv1.0.0Open →
Command lineNew

CVFlow

Audit a detection dataset before it wastes a training run

Windows, macOS & Linuxv0.0.3Open →
Browser tool · No upload

Zone Drawer

Draw polygon zones over an image and copy their coordinates for YOLO or OpenCV.

Draw a zone
Browser demo · Webcam only

YOLO26 TFLite demo

Try live object detection in your browser. The model loads automatically.

Try the demo
All tools and how to install them
What we do

Computer vision, built for production

Every engagement runs the same way: the problem framed against your own data before anything is built, a prototype early enough that you can still change your mind, then hardening into something that holds up under real traffic.

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Client reviews

What clients say

Muhammad Rizwan Munawar has delivered computer vision and deep learning projects for clients worldwide. Here is what a few of them said about working together. Every review is verified on Upwork.

5 🌟 rated · 25+ reviews on
  • $2,620.80
    Excellent to work with and exceeded all expectations in answering questions related to various courses. One of the standout qualities of Muhammed was their commitment to going above and beyond. They didn't just provide brief, surface-level answers. Instead, they took the time to provide in-depth responses that demonstrated their expertise and dedication to the job
    Augmented AI
    Computer vision project
    Verified
  • $1700 / 55$/hr
    Muhammad did an excellent job on my project. He's very knowledgeable, intelligent, and highly capable. I hope to work with Muhammad again in the future.
    Joe Gratz
    Deep learning project
    Verified
  • $600
    Even though he had to work till midnight, Rizwan always worked diligently and attempted to solve difficulties. Rizwan is the best freelancer with whom I've ever worked in Upwork.
    Yanuar Bramantyo
    Computer vision project
    Verified
  • $317.50 / 35$/hr
    Good experience, was available when needed and on time on our appointment. explained well and teached well.
    Darmandran Sivapathasundram
    Computer vision project
    Verified
  • $270
    Work was completed promptly and with great care. He's willing to go the extra mile and was willing to adapt to changes. Great job!
    Ann Delaney
    Computer vision project
    Verified
  • $400
    Muhammad was very professional, helpful, and always available throughout the project. He provided valuable support and contributed significantly to the development of our solution. It was a great experience working with him, and I would definitely recommend him for similar projects. I hope we have the opportunity to work together again in the future.
    Andre Vasques
    Computer vision project
    Verified
Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV, course thumbnail
Learn it yourself

Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV

LinkedIn LearningIntermediate

Build real computer vision projects from scratch using Ultralytics YOLO and OpenCV.

What you build
  • Object counting in images and live video
  • Queue management and waiting-line analysis
  • Track and count objects inside custom zones
  • Turn detections into analytical graphs and charts
  • Run real-time YOLO inference in a Streamlit web app
View on LinkedIn LearningExplore courses →
Blog

From the blog

Tutorials, code, and notes on computer vision, deep learning, and applied AI.

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FAQ

Questions, answered

What kind of problems do you take on?
Anything where a camera or image should produce a decision. That includes detecting and counting objects, tracking people or vehicles, reading documents (OCR), spotting defects, or turning video into analytics. If you are not sure it is possible, that is what the call is for.
Do you build prototypes or production systems?
Both, but the goal is always production. We start with a prototype you can test early, then turn it into a stable system that runs on your cloud, your servers, or edge devices.
Where can the models run?
Cloud, on your own servers, or on edge hardware like NVIDIA Jetson and industrial cameras. We pick the target based on your speed, cost, and privacy needs.
How much data do I need?
It depends on the task. Many problems start with a few hundred labelled images and pretrained models. We give you an honest estimate up front and can help with data collection.
How does a project start?
With a free 30 minute call. You tell us what you want to see, read, or measure. We give you a clear read on whether it is possible, the likely accuracy, and a realistic cost.
Is my data kept private?
Yes. We treat your images and video as confidential, and we can build systems so your data never leaves your own infrastructure.