Multi-Camera
Vision AI for Enterprise

Utilize multiple cameras and vision AI algorithms to capture and analyze process data. Benefit from a wider field of view, algorithmic object tracking, and visual analytics that improve your factory processes.

PPE compliance using Vision AI

Superior Process Mining Using Multi-Camera Vision AI

By capturing visuals from multiple angles simultaneously, multi-camera systems expand the field of view and reduce blind spots. This comprehensive vision solution is ideal for large spaces such as factories, airports, shopping malls, hospitality and parking lots.

3x
Improvement in efficiency of industrial operations
60%
Reduction in costs from manual monitoring
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Factory Production Line Automation

Automate your production pipeline with multi-camera AI solutions that streamline operations and prevent costly errors.

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Detect spillage, product defects, and missing items

YOLO-based object detection and Non-Maximum Suppression (NMS) techniques ensure smooth production and reduce operational errors.
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Monitor workplace activities to ensure safety compliance

Using real-time alerts generated through multi-object tracking (MOT) and region of interest (RoI) techniques, we ensure immediate action on safety violations and anomaly detection.
PPE Safety Compliance Using Vision AI
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Security and Surveillance

Provide extensive surveillance of large regions, including airports, city centers, transportation hubs, and essential facilities.

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Extended range of view and improved situational awareness

Monitor large, complex environments by combining feeds from various angles; cover multiple zones, track objects or people as they move between camera fields, providing seamless surveillance without any gaps.
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Real-time monitoring with integration

Integrate multi-camera setups with AI-based analytics, such as facial recognition, object detection, or behavioral analysis, to enhance real-time monitoring and detect anomalies like unattended bags or unauthorized access, helping prevent incidents before they escalate.

Powered by Advanced Vision AI Models

Leverage powerful models like YOLO, DeepStream SDK, and PyTorch to ensure high-precision object detection and tracking. We offer a streamlined solution to jumpstart your development, saving you months of effort by providing a ready-to-use framework. This workflow includes a validated pathway to production, ensuring a smoother transition.Built on a scalable architecture, it integrates effortlessly with legacy camera setups, or can be deployed on low-cost commodity cameras. Awareye utilizes IoU (Intersection over Union) and class confidence scores to provide instant insights into operations, detect anomalies, and respond quickly to potential issues. 

Integrated with Top AI Frameworks and Technologies

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PyTorch

Framework

We use PyTorch for its flexibility, extensive ecosystem, and speed, enabling us to build accurate, scalable AI models for advanced CCTV detection solutions.

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YOLO

Open Source

YOLO’s real-time object detection helps boost Awareye’s AI camera systems, offering lightning-fast, scalable solutions that ensure high accuracy even on minimal hardware.

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DeepStream SDK

Vision SDK

DeepStream, developed by Nvidia, is a powerful AI-based streaming analytics toolkit designed for video, image, and audio understanding.

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Frequently Asked Questions

Find answers to the most common questions about our platform, product features, and how we can help you deploy multi-camera visual AI.

How does Awareye’s multi-camera solution improve operational efficiency?

Awareye automates monitoring, tracking, and defect detection across multiple camera feeds, leveraging YOLO’s real-time inference capabilities and DeepStream’s high-performance pipeline. Reducing the need for manual checks minimizes human error, accelerates processes, and improves the accuracy of tasks like labeling, anomaly detection, and quality control.

What kind of camera setups can Awareye integrate with?

Awareye is designed to be flexible and compatible with traditional, commodity, or legacy camera setups. DeepStream's flexible architecture supports integration with legacy systems and newer setups, offering a scalable and cost-effective solution.

Can I receive real-time alerts with Awareye?

Yes, Awareye can be integrated with your existing messaging platforms or alerting applications to send real-time notifications. This allows you to take immediate action in response to detected anomalies or incidents.

 Is the solution scalable for larger environments?

Absolutely. Awareye's multi-camera solutions can easily scale to large environments with multiple camera feeds, utilizing DeepStream's optimized pipeline and CUDA acceleration. Its robust platform ensures performance and accuracy, regardless of the number of cameras deployed.

Still have questions?

Click below to read our extensive FAQ page, or get in touch with our team.

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News, Updates and Blogs

Stay updated with the latest developments in Vision AI, real-world applications, and industry innovations.

Case Studies
Case Study: Automated Vehicle Entry and Exit Monitoring
Implementing Awareye’s license plate recognition system at Best Western Resort and Country Club significantly improved the efficiency and reliability of vehicle entry and exit monitoring.
Case Studies
Case Study: Detecting Missing Labels and Missing Contents on Packaging Belt
CentralPharma significantly reduced packaging errors and improved efficiency by partnering with Awareye to integrate AI-powered camera systems for real-time label and content verification.
Case Studies
Case Study: Reducing Crowding in Common Areas at a Hospital
Aarvy Hospitals partnered with Awareye to implement an AI-powered computer vision system, significantly improving crowd control, social distancing, and safety during the COVID-19 pandemic.

Ready to Deploy Awareye AI?

Unlock smarter operations with Awareye’s AI-driven multi-camera technology. Transform your business today—contact us to learn how.

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