Computer Vision Development Services

Make understanding images and videos easier: use AI to empower your business to see more

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Computer vision solutions bg

Introduce innovation to your business

Computer Vision applications allow computers to process images and videos in order to retrieve specific information, automate processes and make decisions. At Miquido, we use Computer Vision to train models to understand visual, high-dimensional data by feeding Machine Learning models with images. We offer AI solutions to get in-depth insights and provide you with comprehensive solutions.

Our Computer Vision development expertise

Example of Image Classification

Image Classification

Labeling and categorising large image datasets can prove to be a difficult task. Image classification involves prediction of the class label for an object in the image, which allows us to automatically assign images to different categories. We can help you with assigning your imagery data to predefined classes and therefore automate the image classification process.

Example of Object Detection

Object Detection

Computer Vision solutions can help you to automate tasks such as monitoring, security systems, etc. This is where Object Detection comes to the rescue: it uses image classification together with other computer vision tasks to identify and localise objects within digital content. It is more advanced than simple image classification, as it is able to classify multiple different types of objects in the image.

Example of Content Indexing

Content Indexing

Organising your content properly can save you a lot of valuable time and increase effectiveness. Video and image content indexing detects objects and automatically assigns their tags. Thanks to this feature, your business can speed up real-time video processing, and you can save your team the hassle of manually handling each piece of visual content.

Tangible results, right on schedule

2 weeks
for the prototype
3 months
for the MVP

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How can your business benefit from Computer Vision development services?

Computer Vision allows machines to observe the world and translate those observations into actionable findings. See how it might benefit you.

Elevate your processes

Save time and resources by making your business processes less prone to human errors! How do we achieve this? By limiting human involvement thanks to task automation, e.g. text extraction, image classification, product quality inspection on production lines in manufacturing, and much more.

Know your customer

Make sure your customers are who they say they are with the help of Computer Vision services. Verify your clients’ identities by using their photos, ID’s or passports to assess their identity and reduce the fraud risk to a minimum. This way, you can be certain that your business stays safe and secure.

Moderate your content

Keep your content organised and make sure your application is a pleasant experience for all users. Save time on manual content moderation – automate the process of detecting unwanted content, such as offensive gestures and explicit nudity in user-generated images or videos automatically (or semi-automatically).

Improve content discoverability

What’s the point of creating awesome content if no one’s going to find it? Let more users discover, share and interact your content with the aid of Computer Vision solutions. Advanced content searches by image, together with object tagging, allow users to discover similar content and products with ease.

Analyse video streams

Automate tasks related to analysing visual imagery that would take humans lots of time and harness the power of computer vision to examine video content in real time. By analysing and using visual sequences from multiple cameras and drones, you can use the collected footage for object detection and mapping.

Ready to transform your business?

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A man using different Computer Vision solutions

Where does Computer Vision excel?

Computer Vision technology is applicable everywhere images or videos are involved. The variety of tasks that can be handled using CV is wide and still expanding:

  • Image Segmentation
  • Image Classification
  • Image Restoration
  • Object Recognition
  • Content Indexing
  • Video Tracking
  • Optical Character Recognition (OCR)
  • Surveillance
  • Biometrics
  • Search by Image
  • Content Moderation
10+
years in software
development
250+
digital solutions
delivered
90%
of all projects
conducted remotely

Computer Vision solutions at Miquido

Patent Office (GovTech)

OCR-based patent applications classification

AGH Solar Boat (with AGH Solar Boat team)

Real-time object detection and mapping using a video stream

Check what our clients say about us

Let’s work together
YouMap logo

I’ve worked for and owned other companies, and good work ethic can be rare. It’s inspiring to work with Miquido because of their impressive work ethic.

Michael Milner

CEO, YouMap

Technology stack

Machine Learning

Python

Amazon SageMaker

TensorFlow

Keras

Pandas

Computer Vision

Amazon Rekognition

Vision AI

Cloud AutoML

Image Processing

OpenCV

Our development process

  • 1

    Scoping & estimation

  • 2

    Workshops & preparation

  • 3

    Design & development

  • 4

    Product release

  • 5

    Ongoing Support

Understanding the nature of your project

We start our journey by identifying the scope of your project. We take our time to understand your needs, business plans, and expectations. We will discuss the features you want your product to have and the complexity of the project. This allows us to choose the best solutions required to support your idea and helps us estimate the development time. As a result, we’ll be able to provide you with a general quotation and development schedule.

Shaping the vision and discussing the details

In this phase, we start with a kick-off meeting with the Data Science team. We will discuss details of your data, images and video content as well as relevant statistical techniques, data infrastructure and visualisation. This insight is extremely important to us, as we need to get a good feeling for your specific conditions and requirements and be sure we are on the same page!

Bringing your project idea into reality

The crucial part in creating Computer Vision solutions relates to your images, photos and videos. We need a few days to prepare a data collection plan. We start from data exploration to get a better feeling for it. Then we work hard to answer your business-specific questions formulated during our Workshops by implementing adequate Computer Vision software. The length of this phase depends on the project size and complexity.

Introducing your product to the market

The big day has come – your application is ready to meet its users! When your product is ready, we take care of the deployment and release under the agreed infrastructure. We make sure that every element of the system is released on schedule and works perfectly. Once your application goes live, we provide you with maintenance and support.

Taking good care of your product

If in the future you see that your solution needs modifications or extra functionalities – we’ve got you covered. We’ll start working right away, all while supporting the existing version until the new one is good to go. Whether it is ongoing maintenance and support, new project development, or a specific upgrade to an already released product – you can count on us!

Custom Computer Vision solution

Custom Computer Vision development

Is your business directly related to images and videos? Let us have a look at your visual data and turn it into useful insights. Our image intelligence services are adjusted for your business-specific requirements.

What is there to gain? Automation, reduced human involvement and an improvement of image and video content searchability. All these are potential benefits available with our Computer Vision solutions. Our bespoke approach uses state-of-the-art methods as we adapt them for your specific needs and requirements.

Want to know more about Computer Vision?

Not sure what Computer Vision is? That’s fine! We’ll be happy to walk you through the most common topics behind AI-based Computer Vision.

Let’s work together

How can Computer Vision solve my business problems?

By processing photos and videos in real-time, Computer Vision can provide insights that are difficult to obtain through human observation alone.

Computer vision may automate routine tasks. For example, it monitors production lines for defects in manufacturing, ensuring that products meet quality standards. In retail, Computer Vision can track inventory levels and detect when products are out of stock.

Computer Vision can also improve safety in the workplace. In industries such as construction and mining, Computer Vision monitors worksites for safety hazards, such as workers needing to wear proper safety gear or equipment needing repair.

Furthermore, computer Vision may be used to enhance customer experiences. For example, in the healthcare industry, Computer Vision identifies guests and provides personalized services based on their preferences. Computer Vision analyses store customer behaviour in retail to provide a better shopping experience and increase sales.

How is Machine Learning Applied to Computer Vision?

Machine learning is applied in Computer Vision in various ways.

Image classification is one of the most common applications of machine learning. For example, a machine learning algorithm can be trained to recognize different types of animals in images. Image classification is used in facial recognition, object recognition, and medical diagnosis.

Another important application of machine learning is object detection. A machine learning algorithm can be trained to detect different types of vehicles on the road. Object detection is used in self-driving cars, surveillance, and industrial automation.

Machine learning is also used for image segmentation. It is the process of dividing an image into different regions or segments. Image segmentation identifies other objects within an image and can be used in many applications, such as medical imaging, robotics, and augmented reality.

Furthermore, machine learning may be used for object tracking. Object tracking may be used in video surveillance, sports analysis, and traffic monitoring.

Where is Computer Vision used?

In healthcare, Computer Vision is used for medical imaging and diagnosis. Computer Vision algorithms can analyse medical images, such as X-rays and CT scans, and identify diseases. This can help doctors to develop more effective treatment plans. Computer Vision is also used for patient monitoring and to detect vital signs and track patient movements.

Computer Vision is used for fraud detection and security in the financial industry. Algorithms analyse images of checks and credit cards to identify suspicious activity and prevent fraud. Additionally, Computer Vision is used for facial recognition and biometric authentication, which can improve security in banking and financial transactions.

It is also worth mentioning that computer Vision is used in the entertainment industry for virtual reality and augmented reality experiences. Computer Vision algorithms can track user movements and create immersive experiences that enhance the user’s experience.

These are just a few examples of the many use cases of Computer Vision across various industries. However, it is worth remembering that you can also use the possibilities of computer vision in entirely different sectors or cases.. The sky’s the limit.

What are the main types of Computer Vision?

  • Image segmentation: It involves dividing an image into distinct regions or segments based on colour, texture, or other visual features. This can be useful for various applications, from identifying objects in a scene to isolating a particular feature for further analysis.
  • Object detection: Computer Vision may be used to identify and locate specific objects within an image or video stream. This type of Computer Vision is used in many applications, such as autonomous vehicles, robotics, and surveillance systems.
  • Facial recognition: Facial recognition involves identifying and verifying a person’s identity based on their facial features. It can be used for access control, identity verification, and real-time tracking of people.
  • Edge detection: It is a type of Computer Vision that involves detecting the edges of objects in an image or video stream. This can be useful for various applications, such as object recognition, tracking, and image enhancement.
  • Pattern detection: It involves identifying patterns within an image or video stream and can be helpful for tasks such as object recognition, image retrieval, and video analysis.
  • Image classification: It is used to categorise images based on their content, such as identifying whether an image contains a person, an animal, or an object. This is a fundamental task in Computer Vision and is used in many applications, such as image search and content-based image retrieval.
  • Feature matching: It is a type of Computer Vision that involves finding similarities between images based on visual features. This can be useful for tasks such as image retrieval, object recognition, and 3D reconstruction.
A woman discussing the implementation of various Computer Vision solutions

Our Computer Vision development services across the industries

  • Healthcare
  • E-commerce
  • Entertainment
  • Fintech

Healthcare is an industry which Computer Vision solutions are truly helping to revolutionise. Speed up the diagnostics process and assist radiologists with scan interpretations with medical image segmentation and analysis. Extraction of image features and automated detection of altered areas can be used for all contemporary imaging modalities like CT, MRI, PET and SPECT, as well as 3D model building.

Search content by image and provide efficient recommendations based on visual characteristics. Low-quality images displayed on your website reflect poorly on your business; image quality control using CV models may be trained to detect and remove, for example, blurred photos that don’t meet required standards. You can also optimise images for the Internet, remove duplicates, and match image content description with the product.

Make your entertainment application both fun and secure for your users, and reduce the workload for your team at the same time. You can make use of facial recognition and tagging on social media with picture metadata, which is based on detecting individual features and matching them with a facial database. For user-generated image quality control, you can automate detecting nudity and banned content before it is visible to the public.

Fintech is an industry that thrives on competitiveness, which is why harnessing the most of the available tech solutions is crucial to succeed. Automate client identity verification and make it available 24/7, make mobile payment more secure using facial recognition and authentication of the right person, use imagery of properties and cars to accelerate your insurance underwriting and quotation process, and much more!

Want to talk about your idea?

Jerzy Biernacki

Hi, I’m Jerzy from Miquido. How can we help you with your project? Fill out the form – we’ll get back to you soon.

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