Computer Vision Services and Solutions

Transforming Reality with Vision

Automate your monitoring and reporting applications to recognize, capture, and extract insights from videos and images.
Computer Vision Services and Solutions

Leverage your business process efficiency with our custom-built computer vision services and solutions

Develop a sophisticated computer vision solution that transforms your business through innovation and efficiency gains.

1

Accelerated Insights

2

Enhanced Precision

3

Improved Productivity

Our Expertise in Building Computer Vision Solutions

At DTskill, we provide a comprehensive range of computer vision services and solutions designed to meet organizations' specific needs in various industries. Whether you require video recognition, image analysis, or another computer vision solution, our team of knowledgeable professionals has the skills to support you in achieving your objectives.

Image Analysis and Segmentation

Image Analysis and Segmentation

We have extensive expertise in designing algorithms for image analysis and segmentation. We have assisted various businesses with designing biometric systems for facial recognition, extracting specific features from images, and automatically detecting and classifying entities in images.
Face recognition

Face recognition

Facial recognition services extend beyond security to boost the user experience. Identify and authenticate a specific person using face traits in an image or video. With our trained AI models and face detection service, we measure and assess various facial representations to precisely authenticate the identity of individuals.
Intelligent Video Analysis

Intelligent Video Analysis

Using deep learning techniques, we can assist you in developing intelligent systems that can automatically analyze video streams and detect events in real time. We have the expertise to assist you in developing innovative and reliable video analysis solutions, whether you need to track movement patterns, design intelligent video description systems, or automate video tagging.
Optical character recognition

Optical character recognition

OCR services transform data into machine-editable text. It is the most cost-effective method of extracting data from printed or handwritten text in a scanned document or picture file. OCR enables quick, accurate, and effective data conversion with excellent quality.
Object Detection, Tracking, and Labeling

Object Detection, Tracking, and Labeling

The DTskill team can offer specialized computer vision solutions that recognize, track, and label objects in images and videos. Using object tracking, organizations can better their surveillance capabilities, create intelligent systems for activity detection, or develop traffic monitoring systems by identifying and analyzing the movement of specified targets over time.
Visual Search

Visual Search

Our team of ML engineers can assist you in developing visual search capabilities that can power search engines, product catalogs, and recommendation engines. Using deep learning approaches, we can train image recognition models that can accurately recognize unique images or even search through considerable databases to find similar objects based on visual similarities.

Frequently Asked Questions

What is computer vision (CV)?
Computer vision, sometimes known as CV, is a field of artificial intelligence concerned with training computers to interpret and comprehend digital images, videos, and other visual data. This is accomplished by applying algorithms that allow the computer to recognize objects, faces, text, movement, and other aspects within an image or video.
How do machine learning and computer vision differ?
Machine learning is a branch of artificial intelligence concerned with the design and implementation of algorithms that can learn from data. Computer vision is a sub-branch of machine learning concerned with the creation and development of algorithms capable of understanding and processing visual data.
What are the benefits of implementing computer vision solutions?
Using computer vision technologies in business has multiple benefits, including: ● Promoting the quality of the product by automating manual image analysis processes such as object tracking, detection, and classification ● Reducing expenses through automated picture labeling, data extraction, and data segmentation ● Allowing more effective marketing and customer analytics through the use of image recognition and analysis tools to better understand consumer preferences and behaviors ● Boosting security by incorporating image analysis for surveillance or automated content filtering ● Automation of processes such as OCR document processing and manual data entry saves time and money.
What sectors might benefit from computer vision services?
Areas where computer vision services could be used: ● Digital twin ● Quality control ● Security ● Robotic process automation ● Healthcare ● eCommerce ● Manufacturing ● Agriculture ● and many more.
How much does developing a computer vision system cost?
Navigating the difficulties of computer vision development demands specialized knowledge and experience. At DTskill, we have a team of professional computer vision experts who can assist you in evaluating your demands and determining the best solution for your project. The cost of developing computer vision solutions depends on several criteria, including the project's complexity and scope, the technology employed, and the need for further integrations. Whichever strategy you decide on, we'll work with you to strike the perfect balance between price and quality and make sure your project stays on track. Get in touch with us today to get an estimate on your custom computer vision product idea!
How do computer vision solutions work?
Computer vision solutions gather visual inputs from cameras or more complex systems based on Time-of-Flight sensors, Radio frequency sensors, and Infrared or LIDAR systems). Then, a Convolutional Neural Network (CNN) was used to process the data. Its extensive network of connected nodes and edges mimics the behavior of neurons. Using neural networks allows Computer Vision applications to self-learn by recognizing similar patterns in instances using labeled data.