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Computer Vision Research

When do you need computer vision research and development.

Computer vision research and services are essential when your project or business requires the ability to interpret and understand visual data from the world around us. This technology applies to a wide range of industries including healthcare, for automated diagnostics; retail, for customer behavior analysis and inventory management; automotive, particularly in developing autonomous driving systems; and security, for surveillance and monitoring activities.

The need for computer vision becomes critical when tasks involve complex image recognition, object detection, or classification challenges that require more than basic rule-based algorithms.

For instance, when precision and speed are necessary to analyze vast amounts of visual data, computer vision systems can provide scalable solutions that significantly enhance accuracy and efficiency.

Moreover, businesses looking to innovate or improve user interactions, such as through augmented reality apps or advanced user interface designs, will find computer vision technologies invaluable. It not only opens up new opportunities for product development but also offers competitive advantages by enabling smarter, more interactive, and responsive technologies.

Here is how we do it:

Image and Object Classification

Our image and object classification systems leverage cutting-edge machine learning models to accurately identify and categorize visual content. These technologies are adept at processing vast amounts of image data, recognizing patterns, and assigning labels based on predefined categories. 

This capability is crucial for applications requiring automatic image sorting, quality control, or enhanced interactive user experiences, providing reliable and swift classifications to support various business operations.

Facial and Emotion Recognition

Our facial and emotion recognition technology employs advanced algorithms to analyze facial expressions and detect emotional states accurately. This system is integral for applications that require nuanced understanding of user interactions, such as enhancing customer service or personalizing user experiences. 

By interpreting facial cues and emotions, we provide insights that help businesses engage more effectively with their clients, tailoring responses and services to meet their emotional and contextual needs.

Video Analytics

Our video analytics technology harnesses advanced algorithms to extract meaningful information from video streams in real-time. This capability enables automatic monitoring of activities, detection of anomalies, and recognition of patterns across various settings, such as security surveillance or customer behavior analysis. 

By analyzing video data, we empower businesses to enhance security, improve operational efficiencies, and gain deeper insights into customer interactions and behaviors.

Generative Adversarial Networks

Our implementation of Generative Adversarial Networks (GANs) is at the forefront of creating synthetic data and generating new content. These powerful neural network models involve two parts: a generator that creates images mimicking real data, and a discriminator that evaluates their authenticity. 

This setup is pivotal for tasks like image enhancement, style transfer, or creating entirely new images for training other AI systems, pushing the boundaries of what’s possible in digital media and data augmentation.

Segmentation & 3D Imaging

Our approach to segmentation and 3D imaging leverages advanced algorithms to dissect and analyze images with high precision. This technology is crucial for applications requiring detailed visual understanding, such as medical imaging, autonomous driving, and virtual reality. 

By accurately segmenting images and constructing 3D models, we provide deeper insights and more actionable data, enabling precise interventions and enhanced digital interactions in various industries.

We have taken several computer vision products from idea to launch.

Deep Learning driven Imaging Tool for Hepatobiliary Surgeons

Liver analyzer is a tool for hepatobiliary surgeons so that they can quickly make assessments about key health indicators such as liver volumes and tumor locations and sizes without immediate help from a trained radiologist.

Engagement Analytics for Online Learners

Phocys is an application for measuring and analysing engagement of online learners using their visual data as well as other dimesnions. The platform helps learners and instructors in improving their performance.

Wildlife Species Detection from live feeds in realtime

WildCam detects wildlife activities from live streams so that wildlife enthusiasts can track wildlife activity. Since the project involved analysing frames from multiple live streams continuously, we employed Kafka and de-coupled micro-services to build the product.

Here are the tools we use for computer vision:

All
Machine Learning
TensorFlow Logo PNG
Tensorflow
langchain
LangChain
Python Logo PNG
Python
mindsdb
MindsDB

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