Computer vision that ships to production
Rizwan AI designs, trains, and deploys deep learning systems that turn images and video into reliable, automated decisions, and gets them running in the real world, not just a notebook.
What we do
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
Detect 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.
Video analytics
Turn camera feeds into counts, dwell time, and zone alerts.
Quality inspection
Catch scratches, misalignment, and missing parts on the production line.
How we work
Scope honestly
We map the problem against your actual data and say what's feasible before any model is trained.
Prototype early
A working proof-of-concept on your real imagery, so you can judge accuracy quickly.
Ship to production
We harden the model into a reliable system and keep it healthy as your data changes.
Muhammad Rizwan Munawar
Founder, RizwanAI
Computer vision engineer and active contributor to the open-source YOLO project.