AI & computer vision development

We build AI 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.

What we do

Computer vision, built for production

Deep learning across image and video, designed, trained, and deployed to run reliably in the real world.

Detect & count objects

Find and count objects in images and live video, in real time, even in busy scenes.

Track people & vehicles

Follow movement across frames to measure flow, paths, and dwell time.

Smart parking

Spot free and occupied bays and automate entry, exit, and enforcement.

Read documents (OCR)

Pull text, fields, and tables from invoices, IDs, and forms in any layout.

Classify & sort images

Label images at scale by category, condition, or defect type.

Video analytics

Turn camera feeds into counts, dwell time, and zone alerts.

Quality inspection

Catch scratches, misalignment, and missing parts on the production line.

Deploy & maintain

Run models reliably on cloud, on-prem, or edge, with monitoring and retraining.

About Rizwan AI

Computer vision that ships to production

Rizwan AI builds computer vision and deep learning systems that turn images and video into reliable, automated decisions. We focus on getting them into production, not just a notebook.

We work end to end: framing the problem against your data, building a prototype you can evaluate early, then hardening it into a system that runs on cloud, on-prem, or edge hardware.

  • End to end: problem framing, prototyping, deployment, and maintenance
  • Object detection, tracking, OCR, video analytics, and quality inspection
  • Runs where you need it: cloud, on-prem, or on-device at the edge
Blog

From the blog

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

Object tracking and trajectory forecasting with YOLO26 and ByteTrack
YOLO26June 25, 202610 min read

Object tracking and trajectory forecasting with YOLO26 and ByteTrack

Detect, track, and predict the future path of people and vehicles using Ultralytics YOLO26, ByteTrack, and a lightweight velocity-based forecasting model.

Real time bird detection and tracking using YOLO11
YOLO11June 24, 20265 min read

Real time bird detection and tracking using YOLO11

Learn how to detect and track birds using Ultralytics YOLO11 for real-time monitoring and ecological research through computer vision.

How to count people in zones with YOLO26 and OpenCV
YOLO26June 23, 202613 min read

How to count people in zones with YOLO26 and OpenCV

A practical walkthrough of a compact Python script that detects, tracks, and counts people inside polygon zones using Ultralytics YOLO26 and OpenCV.

Supermarket items segmentation and counting with YOLO11
YOLO11June 22, 20263 min read

Supermarket items segmentation and counting with YOLO11

Discover how to achieve advanced items segmentation in supermarkets with Ultralytics YOLO11 for efficient object detection and analysis.

How to generate accurate segmentation masks using object detection and Meta SAM2
SAM2June 21, 20263 min read

How to generate accurate segmentation masks using object detection and Meta SAM2

Learn how to generate segmentation masks with object detection and SAM2 models for advanced image processing tasks.

Object tracking and trajectory forecasting with YOLO26 and ByteTrack
YOLO26June 25, 202610 min read

Object tracking and trajectory forecasting with YOLO26 and ByteTrack

Detect, track, and predict the future path of people and vehicles using Ultralytics YOLO26, ByteTrack, and a lightweight velocity-based forecasting model.

Real time bird detection and tracking using YOLO11
YOLO11June 24, 20265 min read

Real time bird detection and tracking using YOLO11

Learn how to detect and track birds using Ultralytics YOLO11 for real-time monitoring and ecological research through computer vision.

How to count people in zones with YOLO26 and OpenCV
YOLO26June 23, 202613 min read

How to count people in zones with YOLO26 and OpenCV

A practical walkthrough of a compact Python script that detects, tracks, and counts people inside polygon zones using Ultralytics YOLO26 and OpenCV.

Supermarket items segmentation and counting with YOLO11
YOLO11June 22, 20263 min read

Supermarket items segmentation and counting with YOLO11

Discover how to achieve advanced items segmentation in supermarkets with Ultralytics YOLO11 for efficient object detection and analysis.

How to generate accurate segmentation masks using object detection and Meta SAM2
SAM2June 21, 20263 min read

How to generate accurate segmentation masks using object detection and Meta SAM2

Learn how to generate segmentation masks with object detection and SAM2 models for advanced image processing tasks.

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.
Work with us

Have visual data going to waste?

Tell us what you want to see, read, or measure. Book a short call and we'll give you an honest read on feasibility, accuracy, and cost.