.svg)
%20(8).svg)
Microsoft-certified experts deploy and optimize AI models using Azure tools such as ML Studio, Azure Data Factory, and Azure Kubernetes Service (AKS). Our engineers keep abreast of Azure developments so that your solutions are in sync with the latest features.
%20(7).svg)
If you want systems for facial recognition or defect detection in manufacturing, we provide solutions tailored specifically to your industry and objectives. We analyze your specific requirements and fine-tune AI models to deliver the highest accuracy and performance.
%20(6).svg)
Depending on your project requirements and price considerations, you can hire developers on a full-time, part-time, or hourly basis. Easily scale your team up or down to make sure you have the most cost-efficient distribution of resources at all stages.
-1.svg)
We work with you at every stage of the development lifecycle, from data preprocessing and model training to deployment and optimization. Post-deployment, our experts ensure your model remains efficient and adapts to new data in the long term.
Our agile nature provides for quick deployment without sacrificing quality and scalability. We optimize workflows and utilize pre-trained models to shorten time to market while still upholding stringent accuracy.
.svg)
Image Recognition
Make AI systems that can recognize the object, analyse the image, and classify very precisely visual information. Our models are constantly being trained over time with new data for improved accuracy and increased adaptability.
Video Analysis and Surveillance
Real-time video processing is implemented in security monitoring, traffic management, and detection of events. Anomaly detection powered by AI enables preventive security mechanisms with very minimal human intervention.
Augmented and Virtual Reality
Using advanced computer vision models, create immersive AR/VR experiences in gaming, training, and e-commerce. AI-powered vision systems would be seamlessly integrated to ensure precise object tracking and elevate user interaction.
Medical Imaging Analysis
Utilize AI for diagnostic support through interpreting X-rays, MRIs, and CT scans with enhanced accuracy. Deep-learning models support early detection of diseases and reduce diagnostic failures, which, in turn, improves patient outcomes.
Manufacturing Defect Detection
Apply computer vision solutions, mainly in defect detection, to ensure product quality on manufacturing lines. Fast AI inspection minimizes errors, reduces wastage, and improves throughput.
Retail & E-Commerce Visual AI
Enhance customer experiences with AI-driven visual search, personalized recommendations, and automated inventory management. Leverage computer vision for product tagging, virtual try-ons, and fraud detection
Image and Object Recognition
Automate functions like object detection, image classification, and visual inspection using AI vision systems for various applications from retail to security, enhancing precision and operational efficiency. Tagging and classification of various industries and real-time anomaly detection are further AI uses.
AI Models for Real-Time Video Analytics
Support decision-making with AI models that process live video streams for events such as event detection, traffic monitoring, or surveillance. AI technology helps minimize human labour while enhancing response time considerably.
Calculation Models, AR/VR
The customer experience is transformed by AR/VR solutions for immersive training, involving product visualization, and entertainment activities. Advanced spatial computing and AI-driven object detection augment interactive digital experiences.
Defect Detection in Manufacturing
Identify defects on production lines using AI-enabled vision tools for quality control and reduced waste. Automated high-speed inspections assist the manufacturers in maintaining strict compliance standards and avoiding costly recalls.
Medical Imaging Analysis
AI models interpret X-rays, CT scans, and MRIs, fast-tracking diagnoses and thereby helping healthcare professionals deliver faster, more accurate care. AI segmentation and anomaly detection-building diagnostic confidence and streamlining the radiology workflow.
Smart Retail & E-Commerce AI
Leverage AI-driven computer vision for automated inventory management, personalized shopping experiences, visual search, and fraud detection. Enhance customer engagement with real-time product recognition and virtual try-ons.
.svg)
Healthcare
AI-Based Analysis Will Enrich Diagnostic Endeavours Utilizing Medical Images and Patient Data. Improved Detection, Treatment Planning, and Patient Outcomes through AI-Enabled Image Processing.
Transportation
Optimize traffic flow and safety through monitoring of traffic and road conditions with AI. Increased AI-enabled insight can assist in real-time, navigation, accident prevention, and fleet management.
Retail
AI Helps Visual Search, Inventory Monitoring, and Personalised Shopping Experience. Computer Vision-Based Analytics Develop Customer Engagement and Optimize Inventory Management.
Manufacturing
They Ensure Quality Control and Streamline Operations Using AI-Fault Detection and Automation. Vision Systems Automate the Production of Assembly Line Work with Accuracy, Reducing Material Waste and Increasing Productivity.
.webp)
.webp)
-
What is computer vision, and how does it benefit businesses?
Computer vision is that branch of AI that enables machines to understand and manipulate images and videos. It is utilized by businesses for quality control, facial recognition, video surveillance, augmented reality, and varied tasks to improve relevance and accuracy in operations.
-
What tools and frameworks do your developers use in computer vision?
Our developers are proficient with tools such as OpenCV, TensorFlow, PyTorch, YOLO, AWS Rekognition, and Google Vision API sites, to name a few.
-
Can computer vision solutions be customized for my business needs?
We customize our solutions to your needs which can be in real-time video analysis, defect detection in manufacturing, or medical image processing.
-
How long does it take to build a computer vision application?
The timelines differ with the complexity of the project. Basic applications could take 4 to 6 weeks; more advanced solutions such as AR, VR, or medical imaging could take 3 to 6 months.
-
Which industries benefit most from computer vision?
Industries like healthcare, manufacturing, retail, transportation, and media use computer vision for diagnostics, quality assurance, inventory tracking, and customer engagement.
-
Can computer vision modules integrate with existing systems?
Yes; we build models that integrate seamlessly with existing software, hardware, and workflows with minimum disruption.
-
What kind of datasets are required for a computer vision project?
We work with structured and unstructured datasets that include labeled images and videos. If no dataset is available, we can assist in curating one or generating synthetic data.
-
Are computer vision models scalable?
Yes, our solutions are designed to scale as your business grows. They can handle increasing data loads and adapt to changing requirements.
-
How secure are your computer vision solutions?
We follow industry best practices, including data encryption and compliance with GDPR and other regulations, to ensure your data is secure.
-
Do you provide post-deployment support for computer vision applications?
Yes, we offer continuous monitoring, retraining, and optimization to ensure your solutions remain accurate and effective over time.
.png?width=1254&height=1054&name=news-letter.90a62ca7a0aaad987b10%20(1).png)
With over three decades of experience in delivering secure data services and enterprise-grade Al, Kyndryl enables you to navigate the complexities of generative Al to drive efficiencies, enhance experiences and reinvent your business.