AI Image Processing Service
We help you implement face recognition functionalities, detect and recognise objects, actions in images and video, run visual search, and so on.
What is AI Image Processing?
Image processing is a method of processing images to improve quality or extract relevant information from the images. The AI ​​image processing service combines advanced algorithm technology with machine learning and computer vision to process large numbers of pictures easily and quickly. Visive provides tailor-made solutions for all your image processing needs, regardless of quantity and nature.
AI Image processing Services Offer by Visive
Identifying objects & Patterns
Machine-guided visualization can identify objects and patterns that are not visible to the naked eye.
Image Restoration
Restore and improve image quality to achieve object recognition.
Image Tagging & Database Creation
Mark images with feature data to facilitate the creation of data sets and subsequent image retrieval systems.
Analyse and Alter Images
Automatically count, measure and analyze objects in images and videos, and modify them using predefined rules and dynamic data.
API Integration
We can integrate the API of any image processing software you like into your applications, tools or products.
App/Tool Creation
With a deep understanding of image processing tools, we can create custom applications driven by AI for your business.
AI Image Processing Services for Enterprises and Businesses
AI image processing services are essential for many private and public organizations. Because the human visual system cannot perceive the world like a digital detector. Therefore, in order to obtain accurate and comprehensive results, companies will use AI digital image processing services.
The most commonly applicable industries/departments include
-- Life Sciences Research -- Manufacturing and Assembly -- Retail
-- Forensics -- Agriculture -- Surveillance and Monitoring System
-- Radiology -- Operations and Logistics -- Enterprise Resource Planning Software
AI Image Processing Technologies we have expertise in
Open source AI Libraries for AI Image Processing
OpenCV
Facial recognition, object recognition, human motion classification, tracking motion and objects in videos are just some of the many ways Visive can help you use OpenCV in AI image processing.
VXL
Stereo, video, motion structure, probabilistic modeling, GUI design, classification, robust estimation, feature tracking, topology, 3D imaging, and more features provided by Visive
AForge.NET
Image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, and robotics are also some of the common services provided by Visive using the AForge.NET open source library.
LTI-Lib
Robot, object recognition, sign language and gesture recognition. The main goal of Live-Lib by visive is to provide a C++ object-oriented library that simplifies code sharing and maintenance, but still provides fast algorithms for practical applications.
Machine learning frameworks and platforms for image processing
TensorFlow
With Visive's TensorFlow service, no matter which language you use, you can effectively train and deploy models on multiple platforms (including cloud, local, browser-based devices). Finally, TensorFlow also provides an environment for research experiments through a simple and flexible architecture.
Pytorch
Visive is an expert using all the features that Pytorch must provide. TorchScript provides seamless transition between eager mode and graphic mode to speed up production progress. The second function is scalable distributed training and performance optimization in research and production.
MATLAB Image Processing Toolbox
The custom function of the MATLAB image processing toolbox provided by Visive allows you to automate routine or typical image processing workflows, thereby increasing efficiency. You can also segment data interactively and compare image registration techniques to batch process large data sets. Similarly, the visualization function allows you to browse images and videos, as well as adjust contrast, create histograms and manipulate regions of interest (ROI).
Computer Vision by Microsoft
You can enhance content discovery capabilities, increase text extraction speed, and create products that can interact visually with the world and the people who use them. Visive will use the MS Computer Vision API to automatically tag content, extract printed and handwritten text from scanned (or other) images, and identify familiar themes, such as popular brands and landmarks.
Pytorch
Google AutoML Vision, powered by Visive, can automatically train custom machine learning models based on your specific use case. Simply upload images and train custom image models through AutoML Vision's easy-to-use graphical interface. You can also choose to export the model to an application in the cloud or other devices to optimize the accuracy, latency and size of the model.
Our Featured Work
Thalassemia Identification Predicting Thalassemia through Gel Electrophoresis
Breast cancer is the leading cause of female death. Every fifth breast cancer patient is diagnosed with HER2-positive breast cancer, which is a very aggressive type of cancer, so timely and accurate diagnosis is needed to limit the chance of death. Fluorescence in situ hybridization (FISH) test is the most common method for detecting HER2-positive breast cancer. However, this process is very tedious, time-consuming and cannot be performed without trained practitioners.
The solution we developed provides customers with a computer-aided system that enables practitioners to perform tests faster and more accurately, while allowing them to digitize and store images for later use. The FISH test is used as a routine method to manually count the number of HER2 and CEP17 genes in a single cell. To make this process more efficient, our system also provides an automated pipeline for cell segmentation and spot counting.
AI Digital Image Processing Service Advantages
The advantages of AI image processing are profound. Using AI and ML to track, analyze and interpret images in real time, every public and private sector will benefit from it. As more and more powerful organizations realize what AI Image Processing and ML can achieve, more and more AI will become the standard. Here are some of the advantages that AI Digital Image Processing can bring
Improved Online Merchandising
Online merchandise relies heavily on tagging images with appropriate keywords and understanding customer needs. For example, a Gucci bag may be accompanied by several keywords, such as "bag", "Gucci", "polyester", "dual belt", "black", so that search engines can match the keywords with the most relevant results. The AI ​​image processing function compares the actual physical characteristics of the objects in each image so that similar products can also be found.
Seamless Store Experiences
One of the best examples is Amazon, which eliminates long lines. AI Image Processing can help you deal with cashiers, inventory, payment and checkout the entire process becomes smooth and unhindered. By automatically detecting the items in the trolley or basket, the cashier will have entered the item list, which can be used to verify the content instead of actually scanning each item.
Unique Customer Experiences
Many social media applications, such as Snapchat and Animoji, are designed to provide a quality user experience through attractive, entertaining and dynamic products. In this case, AI Image Processing can perform face mapping, digital filter enhancements to change the lens, rather than subsequent photos. Manipulations that have never been heard before have become mainstream.
Augmented Reality
Google Glass was chosen as our next major innovation in interacting with the world and bridging the gap between reality and virtual space. Although this is not a good success story, it is not too far away. For example, if you see a bicycle while walking to the nearest grocery store, you can use Google Glass to scan it and use AI Image Processing to get information about the specifications and all the places where you can buy. In the same way, Google Translate can translate pictorial text through the same technique.
Visive Offers Object Detection for Companies Using AI Image Processing
Visive is a leading AI integration and implementation company, providing unparalleled solutions, innovative features and continuous support services. Our experienced professional team has extensive experience in providing companies with solutions that meet unique business needs. This is why Visive provides customizable, scalable, comprehensive and affordable AI digital imaging services. The two best services provided by Visive include facial recognition and road traffic analysis.
Road traffic analysis is an intelligent road safety solution that helps analyze road conditions and traffic conditions at any given time. By using advanced AI image processing and deep learning, Visive has developed a vehicle counting system based on vehicle type and classification to accurately distinguish various types of vehicles. The attached video surveillance system can also remotely monitor traffic conditions.
Similarly, face recognition is a highly accurate and real-time face recognition solution, which provides results based on directional gradient histogram (HOG) and convolutional neural network (CNN). By using dLib to recognize facial structures and perform object-oriented detection, Visive can use human faces as keys. Face recognition has a wide range of applications in law enforcement agencies and other civil organizations. It can capture images from a distance without any physical interaction between the system and the user.
How Does the Visive AI Image Processing Model Work?
Visive's AI image processing system is relatively simple. It is a combination of object recognition, localization and description. In other words, the system recognizes the objects in the picture, pinpoints the exact size, location and characteristics, and then attaches relevant keywords. In addition, the system can automatically improve image quality as needed. The following are the eight key stages of the process:
01
Acquisition
In the image acquisition phase, we first use the sensor to capture the image and convert it into a manageable entity (mostly digital files with specific attributes)
02
Enhancement
Next, through analysis, AI recognizes hidden details in photos by setting algorithms.
03
Restoration
The restoration process can eliminate any defects of the image, so as to obtain a clearer image based on the probability model and the mathematical model.
04
Colour Processing
This involves changing the color scheme of the copy. This process can include conversion to grayscale or RGB in the case of black and white photos.
05
Size Manipulations
Compress or decompress pictures by adjusting the size and resolution according to the intended use.
06
Morphological Processing
This stage adds object descriptions to the image based on the overall shape and structure.
07
Recognition
This stage involves identifying specific functions of specific objects.
08
Representation and description
The final step is to visualize the processed data for better understanding.
In addition, in simple terms, Visive's pattern recognition process can be divided into the following processes:
01
Single Object Images
Classification-involves identifying and classifying images.
Classification and positioning-including classifying images and identifying the approximate location of objects in the image.
02
Multiple Object Images
Object Detection-it is the classification and approximate location of multiple objects in the picture;
Instance Segmentation-involves object detection and the exact size and parameters of each object.