Unlock the power of
Pseudo−LiDAR using AI

Machine Can See has developed a unique technology called Pseudo−LiDAR that can transform an ordinary camera (Monocular) into a sophisticated system for monitoring objects and their movements in real−time.

The advantages of cameras as a universal sensor are their versatility, precision, and cost−effectiveness, making them an indispensable tool in the modern age of technology.

Next−Gen Traffic Analysis for Data−Driven Cities and Businesses

We have developed and patented a technology that allows for comprehensive 3D analysis of street and highway traffic, offering a wide range of possible applications. You can now gain data insights that were previously out of your reach and take your business or city to the next level.

Scroll down and DISCOVER how it works.

The technology that sets us apart

The key features

Fusing Camera Data to Improve Occlusions

Fusing Data to Improve Temporary Occlusions

Data fusion techniques can be used to combine data from multiple cameras, each viewing the same scene from a different angle. This can help to address temporary occlusion problems and improve the accuracy of object detection and tracking. By fusing data from multiple cameras, we can obtain a more complete view of the scene and identify objects that may be occluded or partially obscured from the view of a single camera.

Potential Bandwidth Savings: Up to 100x

The Edge Computing Advantage

The software can run on the edge without the need for a remote server. The amount of data sent to the cloud is significantly decreased, resulting in 100 times less data compared to image/video streaming. By reducing the amount of required data, our technology enables more efficient and cost−effective solutions, opening the door to previously impossible projects.

Privacy Vector-Based Output

Absolute Privacy through Vector−Based Output

Our output is vector-based, which allows us to extract only the useful information related to movement and scene understanding. This means that images can be deleted right after analysis, avoiding the storage of personal identifying information. This can be especially useful in situations where privacy is a concern, such as in public spaces or sensitive environments.

Vector-based Output Roundabout

Detailed 3D vector output of a roundabout

Physics Simulation

AI alone is not sufficient

By combining the power of computer vision and physics simulation, we've created a system that can understand, track, and predict the movement of vehicles even when they are temporary occluded with unparalleled precision, outperforming any 2D−based detection methods currently available.

Find out more about our patent → 

Key Differences and Advantages

"Trying to understand our 3D world with just 2D representations
 is like trying to capture a panoramic view with a narrow lens." 

− Vladan Damjanovic, CEO of MCS

Pseudo-LiDAR 3D based technology

With more accurate and detailed information about the position, orientation, and movement of vehicles, our technology has the potential to revolutionize fields such as parking, traffic monitoring and management.

Other 2D based methods
Traditional 2D methods

The limited understanding of a car's position in space, due to the absence of 3D (depth), is a common issue faced by other players in the market.

Ours (Pseudo−LiDAR)


based technology

  • Understands depth
  • Understands 3D objects with rotation and orientation
  • 3D motion prediction−based object tracking
  • Understands complex scenes and movements
  • Allows for camera movement
  • Movement prediction despite occlusion
  • Physics simulation for improved scene understanding
  • Can combine data from multiple cameras
  • Highly accurate


based methods

  • Lacks depth perception
  • Unable to visualize 3D objects, only understands 2D
  • Pixel movement−based object tracking
  • Understands only simple scenes and movements
  • The camera is limited to a specific angle and cannot move
  • Easily lose track of occluded objects
  • Limited scene understanding
  • Cannot combine data from multiple cameras
  • Low accuracy

Pseudo−LiDAR Detections

Monocular cameras are used to capture depth information, which is then processed using artificial intelligence to generate a simulated LiDAR output known as Pseudo−LiDAR.
Mobirise Website Builder
Mobirise Website Builder
Mobirise Website Builder
Mobirise Website Builder

Use Cases

Our clients have access to powerful 3D sensing capabilities with this technology, which is not restricted to cars, allowing them to unlock new possibilities and drive innovation.

Intelligent Traffic Management
Intelligent Traffic Management

By monitoring traffic flow, identifying bottlenecks, and optimizing traffic signals, our technology leads to a decrease in congestion and ultimately saves money that is typically lost due to traffic congestion.

Smart Parking
Smart Parking

Through the monitoring and management of parking spaces, our technology is able to alleviate traffic congestion and enhance the overall driving experience for users. We can solve parking and traffic issues typically with a 20% improvement in traffic and parking flow.

Digital Twins
Digital Twins

Creating digital twins of airports, construction sites or even whole cities using our technology provides a real−time, data−driven representation of the physical environment, enabling decision−makers to make informed decisions.

City Planning and Development
City Planning and Development

Our technology provides valuable insights into traffic and parking patterns by analyzing them on a lane-by-lane basis, including average speed and vehicle weight through axle counting, giving us an edge over competitors. It supports various city planning and development initiatives.

Logistics and Supply Chain
Logistics and Supply Chain

Our technology can be used to monitor and optimize delivery trucks, reducing congestion and improving efficiency.

Violation Enforcement
Violation Enforcement

Enforcing parking and traffic violations, such as illegal u-turns and parking or running red lights, is possible with our technology, increasing compliance and generating revenue for cities and municipalities.

Container Terminal Management
Container Terminal Management

By utilizing our technology, container terminals can be monitored and managed effectively with access to real-time data and insights on container movements, thus enabling enhanced operational efficiency and effectiveness.

Port Operations
Port Operations

With our technology, it is possible to monitor and manage port operations efficiently by gaining access to real-time data and insights on vessel movements. This enables more effective and efficient port management.

Toggle FAQ

LiDAR is a technology that uses lasers to create 3D maps of objects and environments. It measures the time it takes for a laser pulse to reflect back from a target and creates digital models based on the reflections.

Pseudo−LiDAR using camera−only approach refers to a technology developed by using Computer Vision and artificial intelligence, which transforms ordinary cameras into a system that captures 3D data from the environment, similar to how a LiDAR system operates. However, instead of using laser beams, it uses standard 2D cameras to capture 3D data. This technology can be used to perform detailed street/highway traffic analysis in 3D. It runs on the edge without the need for a remote server and provides clients with access to powerful 3D sensing capabilities, unlocking new possibilities and driving innovation.

Our technology utilizes Computer Vision and artificial intelligence to capture 3D data from any ordinary 2D camera in the environment.

No, the company's technology can run on the edge without the need for a remote server.

Yes, the data fusion from multiple cameras also helps in understanding the occluded objects that are not visible from a single camera's viewpoint. By combining the data from multiple cameras, the technology can create a more comprehensive view of the scene, including occluded objects, and provide a more accurate 3D representation of the environment.

At Machine Can See, we take the security and privacy of our clients' data very seriously. Our cameras output vector-based data, and as soon as we analyze the image, it is destroyed. We never store any images or videos, and we don't transfer any data to remote servers. Our technology runs on the edge, which means the data is processed on the camera itself, and the results are sent to the clients' devices. This ensures that the data is never at risk of being intercepted or hacked during the transfer. We also implement appropriate technical and organizational measures to ensure the security of our clients' data, such as encryption and access control. If you have any concerns about the security or privacy of your data, please don't hesitate to contact us.

Want to work with us?

The steps we follow


Discovery Call

An ideal way to begin is by scheduling a discovery call where we can acquaint ourselves with you and gain insight into the issue you are facing.


Following the preliminary phase, we proceed to determine the appropriate workshop based on your current state of data readiness.


At this phase, we reach a mutual understanding and make a decision to collaborate and address your business obstacles.

There are three types of work we can do:

1. Install existing products
2. Customized projects
3. Consultancy


During this phase, we focus on improving and polishing our work, while brainstorming the next steps, which could involve maintaining the solution or continuing our partnership to develop additional functionalities.


Get in touch with us via phone or message, and we'll respond as soon as possible!


We will reply as soon as possible


Mon - Fri 09:00 am - 5:00 pm (EST)



Supported by

Ministry of Education, Science and Technological Development of the Republic of Serbia
Office of Minister of Science, Technological Development and Innovation
Innovation Fund Serbia
Public Policy Secretariat of the Republic of Serbia
The World Bank
Startup Europe

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

+1 760 463 3233

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