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Computer Vision Development Services

Our team of computer vision experts crafts tailor-made image and video analysis applications for both machine vision and computer vision systems. We construct software with multifaceted capabilities, spanning from face scrutiny, instant gesture and movement detection, to machine vision and image categorization.

Computer Vision Development services

SERVICES

Our Artificial Intelligence Development Services

Strategic Consulting

Leverage our expertise to craft a computer vision roadmap aligned with your specific business goals. We help you identify the most suitable computer vision applications for your image and video analysis needs, considering factors like technical feasibility, and long-term impact.

Data Analysis and Preparation

We understand that high-quality data is essential for successful image analysis. Our team provides a large amount of training data along with meticulous image labeling for accurate model training, data augmentation techniques to address limitations, and exploratory data analysis with strategic advice to ensure your computer vision project has the strongest foundation for success.

Application Development

We offer comprehensive computer vision development, building custom applications for tasks like image classification, object detection, movement recognition, and video analysis. Our experienced team develops scalable solutions to meet your specific needs.

Model Design and Optimization

With the help of top frameworks like TensorFlow and PyTorch, we create high-performance machine vision applications. Our experts design and optimize deep learning models to achieve the best possible accuracy and efficiency for your specific use case.

System Integration and Maintenance

We seamlessly integrate computer vision models into your existing workflows and systems. Our focus extends beyond initial implementation, offering ongoing maintenance services to guarantee the continued effectiveness and performance of your computer vision solution over time.

OUR FEATURED WORK

Our AI-Powered Projects

Computer Vision Powered Model Development for Image Classification and Validation

We incorporated a robust AI model, developed in Python and hosted on Azure, for image classification and validation in vendor management system. This feature analyzes and validates images with high precision, ensuring their integrity and consistency. It seamlessly accepts data through API endpoints, providing a reliable solution for maintaining image accuracy within the system.

Large Language models (LLMs) - nvms case study
Large Language models (LLMs) - nvms case study

Computer Vision Powered Model Development for Image Classification and Validation

We incorporated a robust AI model, developed in Python and hosted on Azure, for image classification and validation in vendor management system. This feature analyzes and validates images with high precision, ensuring their integrity and consistency. It seamlessly accepts data through API endpoints, providing a reliable solution for maintaining image accuracy within the system.

Legal Assistant for Crafting Legal Documents Powered by Large Language Models

For legal research, we focused on models adept at document classification and extracting key information. In document drafting, we integrated advanced language generation models and precise rule-based systems. Our predictive analytics are underpinned by sophisticated regression and classification models, meticulously trained on extensive historical legal datasets for accuracy and depth.

Large Language models (LLMs) - LegalAlly case study

SERVICES

Our Computer Vision Development Services

Empowering businesses with custom computer vision solutions for enhanced efficiency and innovation.

Leverage our expertise to craft a computer vision roadmap aligned with your specific business goals. We help you identify the most suitable computer vision applications for your image and video analysis needs, considering factors like technical feasibility, and long-term impact.

We understand that high-quality data is essential for successful image analysis. Our team provides a large amount of training data along with meticulous image labeling for accurate model training, data augmentation techniques to address limitations, and exploratory data analysis with strategic advice to ensure your computer vision project has the strongest foundation for success.

We offer comprehensive computer vision development, building custom applications for tasks like image classification, object detection, movement recognition, and video analysis. Our experienced team develops scalable solutions to meet your specific needs.

With the help of top frameworks like TensorFlow and PyTorch, we create high-performance machine vision applications. Our experts design and optimize deep learning models to achieve the best possible accuracy and efficiency for your specific use case.

We seamlessly integrate computer vision models into your existing workflows and systems. Our focus extends beyond initial implementation, offering ongoing maintenance services to guarantee the continued effectiveness and performance of your computer vision solution over time.

TOOL & TECHNOLOGY

Computer Vision Tools and Frameworks We Use

Our team of experts recommends the best technology stack to develop Computer Vision solutions for business.
Computer Vision Development services - Tech stack
TESTIMONIAL

What our clients say:

“Markovate makes AI development clear and transparent. With active communication and optimal solutions, they alleviated our development concerns. Highly recommended for seamless product development partnerships.”

Garrett Vandendries
Director & PMO, Trapeze

“Markovate has helped us build multiple products in the past. We definitely recommend them to anyone looking for product development.”

John D
CEO, Aisle24

“Worked with Rajeev and Mansi both for Hawaii Revealed app development and launch. Excellent people with a thorough understanding of their business. Experts in providing solutions for scalability and product modernization.”

George Thompson
Sr. VP, Hawaii Revealed

“In every sense, working with Markovate has been amazing. The experience & outcomes were excellent from conception to creation & throughout the evolution phase. We are grateful that we could find Markovate to assist us as our mobile application met our expectations.”

Michael Sedigh
CFO, 3M Corporation

“Worked with Markovate and Mansi Takyar for our software launch in Canada. She has excellent business sense and truly added value to our product’s success. We highly recommend Markovate.”

David Singh
VP Strategy and Operations, Kira Talent

“I recommend Markovate to owners looking to design a new product or planning to develop it. Their team is fully skilled in building mobile applications and web solutions.”

Lucie Lalumiere
President & CEO, Interactive Ontario

Our proud clients

Over the past decade, we have developed creative solutions for Fortune 500 companies, small businesses, and technology startups. Check out how we helped them transform their corporate structure. See our work.
proud-client-logo-may-24
Over the past decade, we've crafted innovative solutions for leading Fortune 500 companies such as Ford, Kraft Foods, Dell, as well as numerous small businesses and tech startups like Aisle 24 and Trapeze, among others. Check out how we helped them transform their corporate structure.

EXPERTISE

Our Computer Vision Solutions Development Expertise

Image Preprocessing

Our team excels in designing robust preprocessing pipelines tailored to specific tasks and datasets. We ensure optimal normalization, resizing, and enhancement to improve model performance and generalization.

Feature Extraction

Leveraging a deep understanding of traditional feature extraction methods and state-of-the-art deep learning architectures, we extract meaningful features crucial for accurate object recognition, classification, and segmentation.

OCR and ICR

Leveraging advanced OCR and ICR techniques, we extract text from images and documents accurately, enabling automated data extraction and analysis in domains like finance, healthcare, and document management.

Image Generation with GANs

Our proficiency in GANs empowers us to generate synthetic data for augmenting training sets, creating diverse datasets for training robust models, and generating realistic imagery for various applications.

Image Segmentation

Our expertise in semantic and instance segmentation enables precise delineation of objects in complex scenes, facilitating applications like medical image analysis, autonomous navigation, and industrial automation.

Object Detection

With extensive experience in object detection frameworks such as Faster R-CNN, YOLO, and SSD, we develop custom solutions for real-time detection in various scenarios, from surveillance to autonomous vehicles.

Intelligent Video Analysis

With expertise in video processing and deep learning, we develop intelligent solutions for video summarization, activity recognition, and real-time object tracking, enabling actionable insights from video data.

Tracking and Labeling

Our team excels in designing scalable tracking algorithms and automated labeling pipelines, facilitating efficient data annotation and enabling high-quality labeled datasets for training and validation.

Data Augmentation

We develop sophisticated data augmentation strategies to enrich training datasets, mitigating overfitting and enhancing model robustness in the face of real-world variability.

Transfer Learning

Leveraging pre-trained models and transfer learning, we accelerate development cycles and deliver cost-effective solutions tailored to specific customer needs, even with limited labeled data.

Our Collaboration Partners

We form strategic alliances with leading platforms to guarantee the highest standards of safety and quality in every endeavor. This collaboration ensures our solutions are built on a foundation of trust and excellence, meeting the rigorous demands of our clients.
aws-partner
databricks
microsoft-parnters

PROCESS

Our Computer Vision Development Process

Our engineers undertake a meticulous approach to better understand your company’s objectives and how to create an engaging, and smooth Computer Vision solutions for your business.

Requirements Gathering & Problem Definition

The first step involves understanding your company’s goals for the computer vision solution. This includes pinpointing the specific task like object detection, facial recognition, etc., data considerations such as sources, formats, challenges, and performance targets including accuracy, and speed, and how it will integrate with existing systems.

Data Collection and Annotation

We leverage our extensive network to curate datasets tailored to your computer vision project requirements. Our dedicated team ensures high-quality data acquisition, representative of real-world scenarios. With meticulous attention to detail, we annotate data with ground truth labels, bounding boxes, or segmentation masks, ensuring reliability and consistency for effective computer vision model training.

Exploratory Data Analysis (EDA)

Our data scientists conduct comprehensive EDA to focus on visual features of the data and uncover underlying patterns and anomalies in annotated data. This involves identifying key objects, and scene properties or even creating variations of existing data to improve model robustness for your computer vision solution.

Model Selection and Architecture Design

We select algorithms like Convolutional Neural Networks (CNNs) specifically designed for computer vision tasks. Our team considers pre-trained models like VGG or ResNet for faster development or to design custom architectures for unique needs.

Training, Validation and Evaluation

We leverage libraries like TensorFlow or PyTorch to train models on your data and chosen architecture. Our team fine-tuned hyperparameters (learning rate, optimizer) to optimize model performance for computer vision applications. Finally, we assess performance using relevant metrics like mean average precision (mAP) for object detection or F1 score for image classification.

Deployment and Integration

Lastly, during deployment, we consider hardware constraints for specific platforms and integrate the computer vision solution with frameworks like OpenCV for real-time processing. Performance monitoring is set up to track its effectiveness in real-world scenarios and identify areas for improvement.

Requirements Gathering & Problem Definition

The first step involves understanding your company’s goals for the computer vision solution. This includes pinpointing the specific task, such as object detection or facial recognition, data considerations, such as sources, formats, challenges, and performance targets, including accuracy and speed, and how it will integrate with existing systems.

Data Collection and Annotation

We leverage our extensive network to curate datasets tailored to your computer vision project requirements. Our dedicated team ensures high-quality data acquisition, representative of real-world scenarios. With meticulous attention to detail, we annotate data with ground truth labels, bounding boxes, or segmentation masks, ensuring reliability and consistency for effective computer vision model training.

Exploratory Data Analysis (EDA)

Our data scientists conduct comprehensive EDA to focus on visual features of the data and uncover underlying patterns and anomalies in annotated data. This involves identifying key objects, and scene properties or even creating variations of existing data to improve model robustness for your computer vision solution.

Model Selection and Architecture Design

We select algorithms like Convolutional Neural Networks (CNNs) specifically designed for computer vision tasks. Our team considers pre-trained models like VGG or ResNet for faster development or to design custom architectures for unique needs.

Training, Validation and Evaluation

We leverage libraries like TensorFlow or PyTorch to train models on your data and chosen architecture. Our team fine-tuned hyperparameters (learning rate, optimizer) to optimize model performance for computer vision applications. Finally, we assess performance using relevant metrics like mean average precision (mAP) for object detection or F1 score for image classification.

Deployment and Integration

Lastly, during deployment, we consider hardware constraints for specific platforms and integrate the computer vision solution with frameworks like OpenCV for real-time processing. Performance monitoring is set up to track its effectiveness in real-world scenarios and identify areas for improvement.

ABOUT US

Pioneering AI Solutions

Since 2020

Pioneering AI Solutions Since 2020

We’re business strategists and pioneers in AI technologies. Our in-depth knowledge of Artificial Intelligence technologies, models, and frameworks allows us to build a flawless AI ecosystem specifically designed for your business needs. By partnering with us, you’re not just solving problems, you’re leveraging AI to transform your existing systems and set the stage for sustainable success and growth.

65+

AI Solutions

30+

AI Engineers

20+

Work Experience

Pioneering AI Solutions-logo

INDUSTRIES

We build AI-powered digital products across various industries

destination 1

Healthcare


AI in healthcare delivers precise diagnostics, tailored treatment plans, and efficient patient management. It accelerates drug discovery, offers predictive analytics for patient care, and streamlines administrative tasks, empowering healthcare providers.
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Fintech


Leverage AI in fintech for fraud detection, personalized financial advice, and real-time transaction analysis. AI-driven chatbots provide seamless customer support while machine learning algorithms empower security and personalization. Dive into the AI’s fintech world.
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Retail


AI redefines retail with personalized shopping, inventory optimization, and predictive demand forecasting. Boost customer engagement via AI-powered recommendations and virtual try-on experiences, revolutionizing both online and offline retail operations.
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Saas


In the SaaS industry, AI revolutionizes user experience by tailoring interfaces through behavior analysis, automating customer service, and fortifying cybersecurity. Leverage scalable, intelligent AI solutions that redefine SaaS.
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Travel


Elevate travel experiences with AI’s personalized recommendations, dynamic pricing & efficient booking systems. Enhance customer service through interactive chatbots & ensure fleet reliability with predictive maintenance.
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Fitness


Experience personalized workout and nutrition plans driven by AI’s data insights. Achieve fitness goals with virtual coaching and interactive apps, while AI aids in managing gym operations and retaining clients.
oil & gas industry

Oil & Gas


In the Oil & Gas industry, AI technology is revolutionizing exploration, extraction, and distribution processes. From predictive maintenance of equipments to real-time monitoring of drilling operations, AI enhances operational efficiency, optimizes production schedules, and minimizes downtime.
energy industry

Energy


Through smart grid management, AI algorithms balance supply and demand, reducing waste and enhancing reliability. AI-driven energy analytics enable businesses to identify inefficiencies and implement targeted solutions for cost savings and sustainability.
Education industry

Education


AI is driving personalized learning experiences, improving administrative efficiency, and fostering student success. Adaptive learning platforms powered by AI tailor educational content to individual student needs, optimizing comprehension and retention.

SaaS

Travel
Fintech
Retail
Fitness
Healthcare
oil & gas industry

Oil & Gas

energy industry
Energy
Education industry
Education

FAQ’s

Computer Vision Development Services

What is Computer Vision?

Computer vision is an AI field enabling machines to understand images and videos like humans. It uses techniques to analyze visual data, extracting information like objects, features, and scene meaning. Similar to other AI, it relies on deep learning (especially CNNs) for effective processing. High-quality, labeled data is essential for training these models. The field is constantly evolving, offering exciting applications across industries. By prioritizing security and privacy, companies can build trustworthy and impactful computer vision solutions.

How do you address privacy and security concerns in computer vision solutions?

We understand the importance of security and privacy in computer vision applications. Our team minimizes the use of personally identifiable information (PII) within your computer vision solution. Techniques like face blurring and object redaction reduce privacy concerns from the outset. For specific use cases, we employ techniques like background suppression or image perturbation while training your computer vision model.

We leverage secure cloud platforms with access controls to safeguard your computer vision data throughout its lifecycle. Our team ensures compliance with data privacy regulations (GDPR, HIPAA) and prioritizes transparency with clear communication on data usage, deletion options, and user-controlled privacy features within your application.

What level of accuracy can be expected from the computer vision solution?

The level of accuracy varies depending on factors such as the quality of the data, the complexity of the task, and the chosen algorithms. We use high-quality data reflecting complexities like variable lighting (self-driving cars at night) and object occlusions (warehouse robots navigating pallets).

Our deep learning experts tailor Convolutional Neural Networks (CNNs) to your specific task, like facial recognition or object detection. Additionally, we employ advanced techniques like data augmentation, creating variations of existing data (like different pothole severities in road images), to enhance the model’s ability to handle unforeseen situations.

Rigorous validation with computer vision-specific metrics like mAP for object detection ensures exceptional performance and identifies any potential biases. This collaborative approach guarantees a computer vision solution that delivers top-notch accuracy in real-world scenarios.

How does Computer Vision Software Development separate itself from conventional image processing?

Computer vision software development goes beyond conventional image processing by focusing on semantic understanding, contextual analysis, machine learning integration, robustness to variability, diverse applications, and real-time processing needs. It extracts meaningful information from visual data, recognizes patterns, and enables intelligent decision-making, distinguishing it from basic image manipulation techniques.

Our expertise lies in building software that leverages machine learning, specifically CNNs, to make machines truly “see” by extracting meaning from images and videos. Our solutions analyze the context, not just individual pixels, and are robust to real-world variations. This, combined with real-time processing capabilities, unlocks a vast array of applications, from self-driving cars to medical analysis, empowering machines to understand and interact with the world around them.

Which industries stand to gain from Computer Vision Software Development?

Computer Vision development is a valuable tool for a wide array of industries, including, but not limited to, retail, healthcare, transportation, and manufacturing sectors. Its applications encompass functions like medical imaging, automated quality control, security surveillance, product recognition, and the creation of autonomous systems.

We’re at the forefront of developing groundbreaking solutions to facilitate these computer vision applications. Our solutions, using computer vision capabilities, help automate the analysis of complex medical scans (advanced image analysis), optimize production lines with visual inspection systems, and create frictionless checkout experiences (object recognition).

How do you perform data annotation in computer vision projects?

The foundation of any powerful computer vision model lies in meticulously labeled data. We understand the importance of high-quality annotations. This intricate process involves labeling images or videos with specific information that acts as the ground truth for training and evaluating our models.

We use bounding boxes to precisely define the location of the objects, or even employ segmentation masks to differentiate the object from the background scenery. Additionally, keypoint annotations can pinpoint specific features of the objects, while attribute annotations capture details like color, size, or material. The type of annotation used depends entirely on the specific task the model is designed for. By providing this rich and granular data, we ensure our models “learn” from the most accurate information available, leading to exceptional performance.

What kind of support and maintenance do you provide post-deployment?

Our commitment goes beyond deployment. We provide exceptional post-deployment support for your computer vision solution: performance monitoring and optimization for peak accuracy, model refinement and retraining to adapt to changing environments, prompt bug fixes, and proactive security patching. Plus, we’ll explore adding new functionalities, like real-time anomaly detection, to further enhance your quality control process. This comprehensive support ensures your computer vision solution delivers exceptional results and remains a powerful tool for your operations.

 

COMPUTER VISION

Point of view

Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.

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