Object tracking services

AI Consulting

Applications of object tracking solutions built with OpenCV.ai

OpenCV.ai, as an AI object tracking development services provider, develops solutions focused on deriving valuable visual information at a scale, speed, and accuracy impossible for humans. We can help you use a deep learning object tracking algorithm to estimate and predict the movement of objects in a video.

Implementing object tracking algorithms with us, you drive your business efficiency in multiple ways, including the following:

01

Automatic checkout

Use camera object tracking for cashier-less checkout systems in your retail store. Multiple object tracking algorithms track each customer and their selections, allowing businesses to determine in real time which products the customer is placing in their cart, and then generate an automatic receipt as the customer passes through the checkout area.

02

Inventory management

With OpenCV.ai's real-time object tracking, you can reduce inventory errors, prevent losses, and improve supply chain efficiency. You know where your products are, whether they are in the warehouse, in transit, or at the customer's location. The system uses image and video tracking and highlights missing items early, saving you time and money.

03

Autonomous
vehicles

With real-time multiple object tracking, you equip autonomous vehicles with a real-time understanding of the dynamic world around them and enable them to navigate safely and efficiently. They can identify objects and track moving objects on the road, predict their future trajectory, and handle unexpected situations.

04

Suspicious activity monitoring

Adopt real-time object tracking with OpenCV.ai and track objects and people in high-risk locations such as shops, casinos, and warehouses. Algorithms will detect suspicious activity in real-time, automatically notify security services, and prevent theft before it occurs.

05

Safety hazards monitoring

Multiple object tracking allows you to identify potential hazards, such as open manholes, slippery surfaces, and faulty equipment, before they lead to accidents. The system can send notices when employees do not follow safety rules or when equipment starts malfunctioning.

06

City management

The government can also benefit from video object tracking by optimizing traffic lights, public transport, and garbage collection routes, as well as making safer pedestrian crossings and increasing safety in public places.

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Need expert assistance?

Contact us and let advanced object detection and tracking solutions complement your operations and guide you on the innovation journey.

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opencv.ai in numbers

Delivering results as your trusted development partner

Explore our efforts and achievements after continuous collaboration with our clients and work on the development of object tracking algorithms with deep learning. With immense experience in building state-of-the-art computer vision applications, we take pride in the quality of work we deliver to our clients around the world.

Our Process

How we approach object tracking algorithm development

Our approach to 3D object tracking is focused on helping businesses improve productivity, personalize customer experiences, and make data-driven decisions. See how we build the software you need:

01

Consultation & discovery

Understand your specific requirements
Identify the key areas where computer vision object tracking can bring the most value

02

Project strategy

Create a detailed project plan
Outline scope, timelines, resource allocation, and key milestones
Evaluate whether you have the business data needed to train relevant machine learning models
Agree on the desired outcome

03

Tech implementation

Train the model on clean data
Develop the pre-trained deep learning object tracking software
Ensure flexibility for necessary adjustments to align the project with its objectives

04

Testing & deployment

Perform rigorous testing to validate model accuracy and robustness
Seamlessly integrate the solution with your existing systems
Ensure smooth transition and minimal disruption

05

Maintenance & optimization

Monitor performance
Conduct periodic health assessments
Address any questions or improvements needed

Our case studies

Success stories.

Hundreds completed projects and counting.

Dive into our recent case studies to explore our potential as an object tracking model development provider. We at OpenCV.ai have built numerous computer vision models whose success proves our team’s proficiency in the domain.

Portfolio

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Management

Meet our team

OpenCV.ai has a strong computer vision engineering team that is able and ready to deliver solutions that will bring your business the most value. We are deeply integrated into the world’s computer vision community and can find all required domain experts to come up with the best real-time object detection and tracking development services.

CEO

ANNA
KOGAN

CTO

Tatiana
Khanova

CDO

Grigory
Serebryakov

Chief Scientist and President

Dr. Gary
Bradski

our approach

Why work with OpenCV.ai object tracking development company

Our mission is to solve business problems for public and private organizations around the world using computer vision and machine learning. We develop fit-for-purpose solutions that help our customers extract meaningful, real-time insights from their visual data and unlock new opportunities for business growth.

Cross-industry experience

Our team has experience in a wide range of industries, allowing us to tailor solutions to meet the needs of your project. We work with companies of all types, providing the knowledge and support your business needs to grow and prosper.

Customized solutions

We understand that every business is unique, which is why we offer personalized options that can be customized to meet your individual needs. We work closely with you to thoroughly understand your requirements and create solutions that are a perfect fit for your business.

Highly-qualified team

Our group is made up of experts in computer vision and its practical applications. We bring a depth of knowledge and expertise to each task, guaranteeing you world-class service and results.

Continuous support

From conception to launch and beyond, OpenCV.ai offers support every step of the way. Our team works with yours to make sure everything runs smoothly, and provides help and maintenance whenever needed.

Focus on growth

The OpenCV.ai team identifies opportunities and implements strategies to help you achieve your goals, whether it is improving efficiency or increasing profits. Our primary goal is to produce results that drive the growth and success of your business.

Scalable technology

Our asset tracking services are built to scale, making them perfect for any size business, whether you are a startup or a multinational corporation. As your needs grow, we can help you to build technology that adapts to ensure smooth performance as you expand.

Questions?
Answers.

Are you limited to the OpenCV library?

Even though we are associated with the well-known OpenCV library, we at OpenCV.ai don't restrict our efforts to just this library. We offer the development of multi-object tracking algorithms to support our clients’ initiatives in transforming their businesses with visual intelligence.

What is object tracking?

It is a computer vision technology that automatically detects and tracks objects in a video stream or image sequence. It's a critical technology that enables organizations to analyze and understand the behavior of objects in their field of view, predict their future movements, and improve in-place control and monitoring.

What is human pose estimation in gaming?

Human pose estimation is a computer vision technique that involves detecting and localizing human figures in images or videos, and then estimating the person's pose by identifying key points on the body, such as the joints of the limbs and the head. This technology makes it possible to understand human posture, movement, and actions.

What are the four stages of object tracking?

The process of object tracking is made up of four essential phases: detection, tracking, prediction, and recognition. At the detection phase, the system locates objects that are of interest in the image or video. Then algorithms track these objects as they move over time. Prediction involves forecasting where objects will be in the future, given their current trajectory. Lastly, the recognition phase is when the system determines what the objects are.

What are examples of object tracking?

We mentioned in the beginning how beneficial object tracking is in its numerous applications.
You can encounter the use of the technology in:

Traffic monitoring: Tracking vehicles on roads to analyze traffic patterns and optimize flow.
Sports analysis: Following athletes during games to assess performance and strategy.
Retail insights: Monitoring customer movements in stores to understand shopping behavior.
Wildlife conservation: Tracking animal movements to study their habits and protect endangered species.
Security surveillance: Detecting and monitoring individuals or objects in sensitive areas for safety and security.
Production control: Monitoring the quality of the produced items in manufacturing companies and identifying defective ones.

What is object tracking in AR?

In Augmented Reality, object tracking enables AR systems to recognize and track physical objects in the real world. This allows virtual objects or information to be overlaid accurately onto the real-world environment, creating an interactive experience for the user.

This object tracking superpower unlocks a new world of possibilities in AR — virtually trying on clothes before you buy them, learning about history by overlaying information on landmarks, or overlaying step-by-step instructions on the machine you are repairing. Even gaming and entertainment are getting a boost with AR games that use object tracking to create interactive experiences where virtual objects interact with physical markers.

What is the difference between object detection and tracking?

Object detection is the method of locating objects within frames in a video or a photo. This process includes identifying the presence and position of objects, but it doesn't always track their movements over time. In contrast, object tracking is the ongoing process of identifying and tracking the motion of objects through a series of images or video frames. It is built on object detection algorithms and also incorporates the time aspect to follow objects as they move.

What are the uses of object tracking?

Object tracking is used in many areas. In security systems, it keeps an eye on people, vehicles, and anything else important to assist in intrusion detection and overall security. For self-driving cars, it is essential to detect and track other cars, pedestrians, and obstacles on the road.
Object tracking-based video analysis allows us to count people in a crowd, track animal movements, or even study human behavior in research. It is also used to monitor the movement of goods in inventory management and logistics, track the movement of customers and what they pick, and much more.

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