This is our story

(short version)

May 2019


All in on AI

In 2019, we placed our bet on AI being the future. By strategically investing in emerging technologies early on, we wanted to gain a competitive advantage and establish ourselves as industry leaders before our competitors.

Machine Can See LLC was founded by two founders.

July 2020

Innovation Fund of Serbia

Pre-seed Investment Fuels Machine Can See's Growth

As one of the most promising tech startups in Serbia, Machine Can See has secured an equity−free pre−seed investment of 115k euros from the Republic of Serbia's Innovation Fund.

September 2020

First Employees

First Employees

Machine Can See reached a significant milestone by hiring its first employees. With the addition of the first employees, Machine Can See was able to accelerate its growth and expand its product offerings.

April 2021

Whitepaper #1

Parking Occupancy Prediction using Computer Vision with Location Awareness

The whitepaper proposes a solution to the issue of parking occupancy in outdoor lots and street parking spots using Computer Vision (CV) algorithms and Smart Edge devices. The proposed solution utilizes new data streams to construct a 3D model of the parking environment, accurately identifying available on-street parking spaces with high precision.

Find out more about our whitepaper →

May 2021

X-Europe Programme

X-Europe Smart Cities and Sustainability programme

Out of 124 applicants, we were one of the 27 startups chosen to participate. This opportunity provided valuable exposure and resources to advance our mission of bringing Visual AI solutions to smart cities and promoting sustainability.

Learn more →

June 2021

Patent Submitted

Patent Submitted
Method and system for prediction of objects in the space in real-time via 3D replica

Machine Can See's patent aims to improve object prediction using camera images, focusing on objects like transportation means, buildings, and roads. The system uses a vector model of the object created through the neural network, which is placed in a database and used to generate a 3D simulation of the space viewed.

By incorporating physics models, the system achieves higher accuracy and realism, leading to more precise predictions of real-life situations.

Find out more about our patent →

March 2022

Prototype - Parking Lot

Prototype Ready

We successfully achieved the milestone of having a prototype ready. Through rigorous testing and iteration, we were able to refine and improve the prototype, ensuring that it was ready for the next phase of development.

This achievement was a significant step forward for our company and brought us closer to our ultimate goal of delivering a high−quality product to our customers.

May 2022

Whitepaper #2

3D Vehicle Pose Estimation from an Image Using Geometry

This whitepaper explores how to determine the 3D orientation of an object in computer vision using a new approach. It suggests using Euler angles and two coordinate systems to represent the object's orientation in 3D space, and generating a visual bounding box using computer−generated images. The paper also mentions using quaternions for rotating the 3D bounding box in the algorithm.

Find out more about our whitepaper →

June 2022

Vladan Damjanovic

First Big Paying Client

Landing our first big paying client from the US is a significant milestone for our company, as it demonstrates the viability of our concept and the potential for our product in the oil and energy industry.

This project is a big and long undertaking, and we are thrilled to be reaching this point.

Meet our key team members

MCS is a technology company that specializes in computer vision, artificial intelligence, smart city technology, traffic management, parking solutions, and the Internet of Things (IoT).

Our team has a successful track record in developing and overseeing projects, and we bring expertise in a wide range of fields, including software development, machine learning, and game development. We have a proven record of delivering successful projects in these areas, and we're dedicated to helping our clients achieve their goals through innovative technology solutions.

Vladan Damjanovic
Vladan Damjanovic
Co-Founder & CEO

Srdan Vukmirovic
Srdan Vukmirovic, PhD

Nikola Stojanovic
Nikola Stojanovic
AI Developer

Milan Bratic
Milan Bratic
Unity Developer

We extend our gratitude

to advisors who have vast experience in the fields of Visual AI and Neural Networks.

Dubravko Culibrk
Dubravko Culibrk, PhD
AI Scientific Advisor

Dubravko, who is a Professor of Information and Communication Systems at the University of Novi Sad, Serbia, has a Ph.D. degree in Computer Engineering from the Florida Atlantic University, Boca Raton, USA.

In addition to conducting scientific research in the domain of Visual AI and Neural Networks for the last 21 years, he is a Tandemlaunch deep−tech foundry and an NVIDIA Deep Learning Institute University Ambassador.

Dubravko is now the acting director of The Artificial Intelligence Research and Development Institute of Serbia.


Our AI-powered Pseudo-LiDAR technology transforms any (Monocular) camera into an advanced object monitoring system
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