Eagle Eye Networks
Eagle Eye Networks provides a cloud-based video surveillance platform that uses artificial intelligence to help you manage security cameras and analyze video footage from any device anywhere.
V7 is an AI data engine providing a unified platform for training data labeling, automated annotation, and model management to accelerate the development of computer vision applications.
Quick Comparison
| Feature | Eagle Eye Networks | V7 |
|---|---|---|
| Website | een.com | v7labs.com |
| Pricing Model | Custom | Subscription |
| Starting Price | Custom Pricing | Free |
| FREE Trial | ✘ No free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2012 | 2018 |
| Headquarters | Austin, USA | London, UK |
Overview
Eagle Eye Networks
Eagle Eye Networks offers a cloud video management system (VMS) that transforms how you monitor and secure your business. Instead of relying on vulnerable on-site hardware, you can record and store encrypted video directly to the cloud or use a hybrid approach. You can access live and recorded video from any web browser or mobile device, making it easy to keep an eye on multiple locations simultaneously without complex network configurations.
The platform is designed for businesses of all sizes, from small retail shops to large global enterprises. You can use your existing analog or IP cameras, saving you from expensive hardware overhauls. By moving your surveillance to the cloud, you eliminate the headaches of maintaining local servers and gain access to advanced AI features like license plate recognition and behavioral analytics to improve your operational efficiency.
V7
V7 is an automated training data platform designed to help you build and deploy computer vision models faster. You can manage the entire AI lifecycle in one place, from uploading raw images and video to labeling data with AI-powered tools and monitoring model performance. It eliminates the need for fragmented tools by combining data management, manual annotation, and automated workflows into a single, collaborative environment.
You can automate up to 90% of your labeling tasks using the platform's 'Auto-Annotate' feature, which identifies object boundaries with high precision. Whether you are a small research team or a large enterprise in healthcare, manufacturing, or autonomous driving, V7 helps you maintain high data quality while significantly reducing the time spent on manual tasks. It scales with your needs, offering robust API access and seamless team collaboration features.
Overview
Eagle Eye Networks Features
- Cloud Video Management View live and recorded video from all your locations in one place using any web browser or mobile app.
- Camera Compatibility Connect your existing digital or analog cameras to the cloud so you don't have to buy all new hardware.
- AI Video Analytics Detect loitering, count people, and receive alerts for specific movements to turn your cameras into proactive business tools.
- Smart Video Search Find specific incidents in seconds by searching for people, vehicles, or colors across all your recorded footage.
- Mobile Monitoring Receive instant push notifications on your phone when sensors are triggered and view high-resolution video on the go.
- Secure Encryption Protect your data with triple-redundant cloud storage and end-to-end encryption that keeps your private footage safe from hackers.
V7 Features
- AI Auto-Annotation. Create complex polygons and masks in seconds by simply clicking on objects, reducing your manual labeling time by up to 90%.
- Video Labeling. Annotate video files with frame-by-frame precision and use object tracking to automatically follow items across multiple frames.
- Dataset Management. Organize millions of images and videos with powerful filtering, versioning, and metadata tagging to keep your training data structured.
- Real-time Collaboration. Work together with your team in real-time, assign tasks to labelers, and use built-in chat to resolve data ambiguities quickly.
- Quality Control Workflows. Build custom multi-stage review pipelines to ensure every annotation meets your accuracy standards before it reaches your model.
- Model Management. Deploy your trained models as labeling assistants or run them in the cloud to automate your data pipeline end-to-end.
Pricing Comparison
Eagle Eye Networks Pricing
V7 Pricing
- For students and researchers
- Auto-Annotate tool access
- Up to 100 images
- Community support
- Public datasets only
- Everything in Education, plus:
- Private datasets
- Priority support
- Advanced video labeling
- API and CLI access
- Custom workflow stages
Pros & Cons
Eagle Eye Networks
Pros
- Easy to manage multiple locations from one dashboard
- Works with a massive variety of third-party cameras
- Eliminates the need for on-site server maintenance
- Mobile app is highly responsive for remote viewing
Cons
- Requires significant upload bandwidth for high-resolution video
- Subscription costs can add up for many cameras
- Initial setup of bridge hardware requires technical knowledge
V7
Pros
- Auto-annotate tool is exceptionally fast and accurate
- Intuitive interface makes it easy to onboard new labelers
- Superior handling of high-resolution medical imaging files
- Robust API allows for deep integration into existing pipelines
Cons
- Pricing can be high for very small startups
- Occasional lag when handling extremely large video files
- Learning curve for setting up complex automated workflows