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Cloud AI

Intelligent Vision, Powered by the Cloud: A New Era of AI

Supercharge your image processing and video analysis with our cloud-based AI/ML. Enhance decision-making, automate processes, and utilize real-time insights—all from the cloud. 

Accelerating AI-Driven Image Recognition for Cloud-Based Surveillance.webp

Accelerating AI-Driven Image Recognition for Cloud-Based Surveillance

Security

Optimizing Model Training Pipelines for Vision Applications in Retail.webp

Optimizing Model Training Pipelines for Vision Applications in Retail

Retail

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Real-Time Cloud AI Solutions for Autonomous Drone Navigation

Robotics

At Regami, we specialize in delivering advanced cloud-based AI/ML solutions for vision-based applications. From object recognition and real-time image processing to predictive maintenance and automated analytics, our cloud services enable businesses to extract valuable insights from visual data. With scalable infrastructure, cutting-edge models, and secure deployment, we help unlock the power of AI/ML, transforming the way industries leverage image and video data. Our cloud-powered systems accelerate decision-making, optimize workflows, and reduce operational costs, while ensuring seamless integration and industry-specific customization. 

Our cloud-based solutions are designed to enhance industries by enabling real-time insights, predictive analysis, and intelligent decision-making through efficient and secure AI-driven processes. Whether it's through our Regami Over-the-Air Update (ROTA), OCR (Percepta), License Plate Recognition (Clarity+), Barcode/QR Recognition (Dexter+), Facial Recognition (Vektor+), Iris Recognition (Optiva+), etc. Regami’s versatile offerings ensure that every visual data interaction is seamless, secure, and optimized for performance. 

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Cloud AI/ML Vision-Based Solutions: Tailored to Your Needs

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Cloud AI/ML Vision Solutions for Scalable Innovation  

Regami combines Cloud AI/ML solutions with device engineering expertise, enabling scalable, efficient, and intelligent hardware tailored for diverse applications. 

Cloud-Based Smart Surveillance

Cloud-Based Smart Surveillance

Scalable cloud systems for real-time video analysis, enabling proactive security and insights.

AI-Powered Retail Analytics

AI-Powered Retail Analytics

Analyze customer behavior, optimize inventory, promotions, and store layouts from the cloud.

Remote Industrial Inspections

Remote Industrial Inspections

Automate and scale remote visual inspections, boosting defect detection and operational efficiency.

AI-enabled Medical devices

AI-enabled Medical devices

Rapidly analyze medical images, improving diagnostics and enabling faster care.

Automatic LPR systems

Automatic LPR systems

Real-time vehicle tracking and traffic enforcement with cloud-based LPR solutions.

AI-Powered Dashcam

AI-Powered Dashcam

Smart dashcam solutions for incident detection and driver behavior analysis via cloud AI.

Bridging Gaps in Cloud AI/ML With Tailored Solutions

Data Integration & Security 

Integrating large volumes of visual data while ensuring secure, private access and compliance with industry standards is crucial for AI/ML model accuracy and security.

Scaling AI/ML Models 

Scaling AI/ML models across cloud platforms requires efficient resource management and optimization.

Model Deployment & Management 

Deploying and managing machine learning models in the cloud while ensuring performance and consistency is a significant challenge.

Cost Optimization 

Managing the costs of cloud-based AI/ML infrastructure without compromising performance is a persistent challenge.

Real-Time AI Processing 

Real-time data processing with AI in the cloud can face latency issues, impacting decision-making in fast-paced environments.

Model Drift & Maintenance 

AI/ML models in the cloud require constant monitoring and updates to address model drift, ensuring accuracy and relevance over time.

Securing AI Data in the Cloud
Cloud Ai case study

Securing AI Data in the Cloud

Regami collaborated with a financial services firm to integrate sensitive customer data securely in the cloud. We implemented advanced encryption and privacy measures, ensuring regulatory compliance and data security.

Scaling Predictive Analytics for E-commerce
Scaling Predictive Analytics for E-commerce

Scaling Predictive Analytics for E-commerce

We partnered with an e-commerce company to scale their AI-powered recommendation system. By optimizing cloud resources, we increased recommendation accuracy and scaled the system to handle high traffic. 

Streamlining AI Model Deployment for Healthcare
Streamlining AI Model Deployment for Healthcare

Streamlining AI Model Deployment for Healthcare

Regami helped a healthcare provider streamline the deployment of AI models for diagnostic imaging in the cloud. Our solution reduced deployment time and improved model accuracy.

Reducing Cloud AI Costs for Retail
Reducing Cloud AI Costs for Retail

Reducing Cloud AI Costs for Retail

We worked with a retail chain to optimize their cloud AI/ML infrastructure, cutting operational costs by leveraging efficient resource allocation while maintaining high performance.

Real-Time AI for Smart Cities
Real-Time AI for Smart Cities

Real-Time AI for Smart Cities

Regami assisted a smart city project in deploying real-time AI processing for traffic management, reducing latency and improving system responsiveness across the cloud. 

Managing Model Drift for Predictive Maintenance
Managing Model Drift for Predictive Maintenance

Managing Model Drift for Predictive Maintenance

Regami worked with a manufacturing company to monitor and update AI models for predictive maintenance, preventing model drift and ensuring ongoing accuracy in equipment failure predictions.

Regami's Software Platforms

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Regami Vistara for Windows

Regami Magna for Linux

Regami Nova for Android

Regami Authenta VideoKYC

Regami's SDK Resources

Regami Clarity+ LPR SDK

Regami Percepta OCR SDK

Regami Dexter+ Barcode SDK

Regami Vektor+ Facial Recognition SDK

Regami Optiva+ Iris Recognition SDK

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Regami's Hardware Platforms

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Regami APEX Smart Camera

Regami ORBIS ONVIF Camera

Standard You Trust, Platform You Rely On

Certifications

Federal Communications Commission

European Conformity

Underwriters Laboratories

Atmospheric Explosives

Electrical Testing Laboratories

Restriction of Hazardous Substances certification

REACH Complaince

Service Organization Controls 2

HIPAA Complaince

Processing Platforms

NVIDIA

NXP

MediaTek

Raspberry Pi

TI

STM

Espressif

Wireless Platforms

uBlox

Sierra

Nordic

Larid

Quectel

Microchip

SimCom

Innovation Insights: Explore Our Latest Articles

How Cloud AI is Transforming Vision-Based Systems_edited.jpg

Blogs

Cloud-based AI is transforming industries by enabling real-time processing of images and videos, enhancing decision-making and automation in various applications. 

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Blogs

Best practices for optimizing the performance of vision-based AI models in the cloud, ensuring efficient operations, scalability, and seamless deployment.

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Blogs

Strategies for optimizing cloud infrastructure to reduce costs while maintaining high-performance vision-based AI systems and ensuring operational efficiency.

Certifications

Processing Platforms

Wireless Platforms

Innovation Insights: Explore Our Latest Articles

Federal Communications Commission

European Conformity

Underwriters Laboratories

Atmospheric Explosives

Electrical Testing Laboratories

Restriction of Hazardous Substances certification

REACH Complaince

Service Organization Controls 2

Health Insurance Portability and Accountability Act

NVIDA

Next eXPerience

MediaTek

Raspberry Pi

Texas Instruments

STM

Espressif

uBlox

Sierra

Nordic

Laird

Quectel

Microchip

Espressif

Related Services

Innovation Insights: Explore Our Latest Articles

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How Cloud AI is Transforming Vision-Based Systems

Cloud-based AI is transforming industries by enabling real-time processing of images and videos, enhancing decision-making and automation in various applications.

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BLOGS

Optimizing Vision AI Performance in the Cloud

Best practices for optimizing the performance of vision-based AI models in the cloud, ensuring efficient operations, scalability, and seamless deployment.

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Facing Challenges in Device Engineering: What You Need to Know 

Strategies for optimizing cloud infrastructure to reduce costs while maintaining high-performance vision-based AI systems and ensuring operational efficiency.

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