Computer Vision Development

We build intelligent systems using sophisticated algorithms, frameworks, data processing techniques, and methods. Our expertise lies in modern algorithms and Machine Learning approaches that enable us to deliver unparalleled accuracy and efficiency in various apps related to image recognition, face analysis, visual search, object detection, movement recognition, video analysis, and more.

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Computer Vision Development
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The Next-level Computer Vision Services We Offer

We focus on delivering computer vision solutions combining technologies with creativity that empower humans, solve high pain points of businesses, and make their experience more immersive.

Pattern Detection

Simply put, we use modern pattern recognition techniques to reveal valuable insights concealed within your data. Our pattern detection service utilizes advanced algorithms to identify significant trends and anomalies within vast datasets efficiently. Whether it's financial analysis or future trends, our flexible solution enables you to make informed decisions.

Semantic Segmentation

Our Semantic Segmentation Service is at the very edge of computer vision technology, allowing for a more in-depth comprehension of images than ever before. Codiste's team methodically separates photographs into several segments, assigning a distinct class label to each pixel, using modern algorithms and robust neural networks.

Optical Character Recognition

Experience the convenience of our advanced OCR technology that converts printed and handwritten text into machine-readable digital data. Our OCR service guarantees exceptional accuracy and speed, enabling you to extract vital information from various sources effortlessly. Automate your workflow and boost productivity with our OCR solution.

Image Generation and Style Transfer

We are implementing Neural Style Transfer to generate possibilities of AI-powered creativity through our innovative Image Generation and Style Transfer solutions. We seamlessly infuse artistic styles into your images, turning them into awe-inspiring masterpieces that can captivate and amaze the audience.

Why Us for Computer Vision Software Development Service?

Experts at Codiste work with a mission to deliver engaging and intuitive user experiences from enterprises to startups with their computer vision solutions.

Comprehensive Development

Experienced Professionals

We have immense knowledge of AI development technologies using techniques while building, managing, and continually improving computer vision software for robotics, medical imaging, and more.

Comprehensive Development

High-Touch Interactions

Our success relies on teamwork, including our clients. We work for our clients as partners in their journey towards digital transformation and have a high-touch interaction to solve possible computer vision challenges.

Comprehensive Development

Customized Computer Vision

We offer a customized computer vision solution pertaining to automating tasks like security, monitoring, etc., through our centralized and standardized sources. This allows our clients to scale their businesses quickly through visual understanding.

Comprehensive Development

Proactive Work

Our computer vision software development services include 24/7 proactive monitoring and advanced analytics capabilities. This helps us to maintain our work efficiency above the par level and to reduce all possible issues as and when detected.

Comprehensive Development

Comprehensive Solution

From detecting and recognizing defects, events, actions, and incidents, our computer vision engineers do real-time analysis to foster enterprises with end-to-end computer vision development solutions.

Comprehensive Development

Support Help

We are always eager to assist our clients with AI solutions. Reaching our support staff is a simple thing. Just click a button on our chat support and easily access our support services related to object detection, face recognition, OCR data extraction, etc.

Our Machine Learning Consulting Approach

We assist organizations in a seamless journey of utilizing AI-driven insights, from defining clear business goals to implementing and monitoring ML models.


Business Goal

Understanding the desired result, establishing key performance indicators (KPIs), and coordinating the ML strategy. With the larger corporate objectives are necessary for this.


ML Problem Framing

Convert the business objective into a clear-cut machine learning challenge. In this phase, the type of ML task (such as classification, regression, clustering) is determined, the relevant evaluation metrics are chosen.


Data Processing

Preparing and preprocessing the data will assure its accuracy, completeness, and suitability for ML algorithms. This covers operations like feature engineering, addressing missing values, data cleansing, and converting data into a format for model training.


Model development

Using the cleaned-up data, create, train, and fine-tune the machine learning model. Choosing the right algorithms, optimizing hyperparameters, and assessing model performance using methods like cross-validation comes in this stage.



To make the trained ML model available for real-time predictions, integrate it into a production environment or application. This entails creating a deployment architecture, managing model versioning, and setting up data pipelines for seamless integration.



Monitoring important metrics, identifying and dealing with model or concept drift, and putting in place safeguards to guarantee the model's dependability and efficiency over time.

Want to Hire Expert for End-to-end Custom Computer Vision Development Services?

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Technology Stack

Our experienced team of engineers pack your Machine Learning Consulting with the best technologies ensuring that enable fault-free operations and be ready for transforming and scaling business.

  • pytorch


  • Scikit_learn

    Scikit Learn

  • Apache_Spark_

    Apache Spark

  • Pandas


  • github


  • bitbucket


  • git


  • kubernetes


  • docker


  • Power-BI


  • Tableau


  • Matplotlib


  • Airflow

    Apache airflow

  • sagemaker


  • Autokeras


Industries We Serve



Real Estate

Real Estate

Event Industry

Event Industry





Renewable & green energy

Renewable & green energy

Human Resources

Human Resources

Sports Tech

Sports Tech





Funded Start-ups

Funded Start-ups

Cleantech Space

Cleantech Space

Our Engagement Models


Fixed Engagement Model

Get a predefined budget and timetable that is tailored for machine learning solutions projects with well defined scope and needs. This strategy, which is best for small to medium projects, guarantees cost predictability and provides the stated deliverables within the scheduled time range.


Time and Material Engagement Model

Our Time and Material Engagement Model is flexible and adaptable, making it ideal for machine learning professional services projects with changing requirements and undefined scope. As a result, there is more flexibility in adapting changes, scalability, and continued cooperation throughout the development lifecycle because you only pay machine learning consultant hourly rate actually used on the project.


Hire Dedicated Team Model

Strengthen your internal resources by putting together a group of talented ML Consultants and engineers that are only committed to the success of your project. This model offers the benefit of an extended development team that works extremely collaboratively to meet the needs and goals of your organization while guaranteeing smooth communication, control, and transparency.


OCR abbreviated as Optical Character Recognition, which is a set of processes that converts a text image into a machine-readable text format. Mainly, this technique is used to detect the presence of printed or handwritten texts in digital images. The OCR technique uses a scanner to copy the texts from the image and utilizes AI-powered software to identify the languages or styles of writing.

Optical Character Recognition (OCR) deals with the computer vision problem naturally, so utilizing Python programming would be the best fit. Python is the most widely used simple programming language for computer vision/deep learning functionality. Python OCR technology will be completed by deploying the open-source OCR engine Tesseract.

Semantic segmentation is a process of categorizing every pixel of an image into a class. It simply treats multiple objects of a class into a single entity by labeling them differently by using pixel boundaries. Semantic segmentation can easily identify objects like cars, people and so easily from an image.

Semantic segmentation is a widely used image segmentation process and instance segmentation for basic object recognition in computer vision projects. The semantic segmentation process groups the displayed objects into predefined classes or categories. On the other hand, the instance segmentation process is used to identify the specific entities or objects within a class.

    Pattern detection is a process of identifying the regularities and patterns in the data using Machine Learning (ML) algorithms. The working procedure of data pattern detection depends upon various notions. It can be either supervised or unsupervised approaches.
    Phases involved in data pattern detections are:
  • Sensing
  • Segmentation
  • Feature Extraction
  • Classification
  • Post Processing

Pattern detection can be defined as the process of classifying the data based on the gained knowledge through information extracted from the data analysis. The data pattern distinguishing can be performed using algorithms powered by Artificial Intelligence (AI) and Machine Learning (ML) Tools. It is widely used to make data predictions and to improve decision-making processes.

Image generators powered by Artificial Intelligence (AI) use the most advanced machine learning (ML) algorithms like Artificial Neural Networks (ANN) to generate realistic images. The presence of biological neural networks in ANN processes the provided information to learn and creates new images interpreting the text prompt and mimicking the art form.

In their generative AI models, image generators use neural networks to identify data patterns and structures. The generative AI models combine with the Machine Language (ML) algorithms to learn from large datasets and generate new images according to input parameters.

Yes! You can make use of an AI Image Generator for Free to create images for your website. So many online AI image generators allow you to create anything that doesn't exist in real life. AI Image generators have the potential to generate highly realistic unique images that are not found in photo libraries, icons, and 3D objects by just using your words and imagination.

Our Computer Vision Experts Power Businesses across the AI Ecosystem

Discuss Your Goal

Case Study

ML Estimation

Streamline HVAC project bidding with ML estimation, automating drawing annotation and generating accurate bill of materials. Save time, differentiate yourself in the industry, and leverage innovative technology for detailed quantity take-offs.

MLEstimation - AI Tool to Analyse your Building material

Satisfied clients is our proof of our excellence!

Ask Us How?

We deliver computer vision solutions with the future in mind

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