Computer Vision
As a computer vision development company, DashBouquet empowers businesses with advanced image processing capabilities.
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Computer Vision

DashBouquet is a computer vision company. Our computer vision developers build advanced image processing tools in time and in line with defined business objectives. We create custom solutions that open up new possibilities for transforming your business by novel technologies implementation.

What is computer vision?

Computer vision refers to a multidisciplinary field of computer science concerned with enabling artificial systems to perceive dimensional information from interpreting visual data input. As the name suggests, the technology was inspired by the human visual system and it mimics natural visual processing to some extent.

Computer vision technology: how it works

Simply put, it uses deep learning models to identify objects on images from cameras. Firstly, the image is being disassembled into pieces and then these parts undergo processing and the edges are being identified to build a dimensional model. Algorithms are trained on thousands of related images beforehand and learn different features of similar objects.

Real-life applications of computer vision technology include:

Self-driving vehicles
Self-driving vehicles use visual input to classify objects and gather information about location, traffic conditions, steering angle, road signs, etc. The technology is rapidly advancing towards turning data into more precise actions enabling safer transportation in a self-driving vehicle.
Image retrieval
Image retrieval technologies allow for performing content-based search and retrieving similar images to query image. Content-based image retrieval methods rely on deriving information from an image through image processing techniques rather than using metadata to find similar content.
Enabling vision-based inputs enhance gaming experience, boosting interactivity. Learning artificial systems to interpret visual cues allow the use of gestures for players to interact with the game environment.
Artificial object recognizing and tracking capabilities of computer vision-backed video processing tools analyze security footage at scale and improve efficiency compared to human operators.
Biometric identification
Vision-based biometrics deal with developing sensitive tools for identity verification through matching of fingerprints, gait, facial features, vascular patterns of iris etc. These methods allow for creating the most meticulous authentication systems to-date.
Face recognition
Advanced face recognition algorithms perform image processing in order to extract facial features and identify individuals on photos within a data set.

Computer vision development services

As an experienced computer vision company, DashBouquet offers a variety of computer vision services to help companies discover the essence of visual data.

Computer vision techniques include:

Image synthesis
This method involves sophisticated processing of an image or a video, extracting the meaningful features, and performing targeted modifications, such as adding or changing the style of an object or a face in a scene. Image synthesis outputs images or videos that are entirely new and this opens up a lot of opportunities for creating photorealistic images on-demand.
Object segmentation
Object segmentation refers to a process that involves partitioning an image into smaller segments. This technique is aimed at creating a simplified representation of an image that facilitates further analysis. Object segmentation involves edge and object detection within an image and is basically a process of labelling its every pixel.
Image classification
This complex image labeling process relies on multiple technologies. Classification can be binary or multiclass, related to whether there is a binary decision (e.g. malignant or benign tumor in medical image processing) or multiple classes to assign an image to (e.g. facial recognition systems).
Image colorization
Image colorization techniques allow for turning black-and-white images, photographs, and movies into colorful ones using neural network algorithms. Existing photo datasets are converted into their grayscale versions that are then used to learn neural networks to colorize.
Object detection
Object detection involves image labeling and localizing the recognized objects by adding bounding boxes around them. Object detection is a more sophisticated task than mere image classification, because images typically contain multiple types of objects.
Image reconstruction
Image reconstruction allows for restoring damaged or corrupt images by filling in missing parts. Models are learned by comparing large sets of intact images with their corrupt versions.

Computer vision experts

Expert advice is a potent tool for finding the science-backed means of turning business data into value. Our computer vision experts leverage their deep understanding of core principles underlying the technology to help businesses navigate their way to digital transformation.