Sold by: Adamas Tech Consulting
Deployed on AWS
Turn RTSP camera feeds into real-time face recognition, attendance, and searchable video events using cloud-native streaming, detection, and analytics workflows.
Overview
This video intelligence solution helps organizations turn existing camera infrastructure into a smarter, more efficient operations platform. It enables real-time face recognition, attendance tracking, visitor monitoring, and automated event detection, helping teams reduce manual effort, improve visibility, and respond faster to what matters most. Designed for businesses managing multiple locations, it supports use cases across workplaces, campuses, factories, warehouses, retail stores, and secure facilities.
The product combines live camera streaming, AI-powered video analytics, and cloud-based event management into a single solution that is easier to deploy and scale than building a custom system from scratch. Key capabilities include camera onboarding, real-time recognition, attendance workflows, alert-ready event outputs, area-of-interest configuration, and centralized reporting. Teams can use it to monitor employee presence, streamline attendance operations, improve site awareness, track repeat visitors, and generate actionable insights from video feeds without relying on manual review. This makes it valuable for organizations focused on operational efficiency, security, compliance, and service quality.
Built for commercial deployment, the solution is well suited for SaaS platforms, enterprise security operations, and digital transformation programs where reliability, scalability, and business visibility are critical. It can be positioned as a managed video analytics platform for multi-site customers, helping service providers and enterprises deliver smarter monitoring with lower operational overhead. Relevant keywords include video analytics, face recognition, attendance management, smart surveillance, AI video monitoring, visitor tracking, workforce monitoring, cloud video intelligence, real-time monitoring, site visibility, and operational insights.
Highlights
- Real-time video analytics with face recognition, attendance tracking, and visitor monitoring to help organizations improve visibility, reduce manual effort, and act faster across sites.
- Cloud-based video intelligence that transforms existing RTSP camera feeds into searchable events, operational insights, and smarter monitoring for workplaces, campuses, retail, logistics, and secure facilities.
- Built for scalable deployment as a SaaS or enterprise solution, combining AI video monitoring, centralized management, and automated workflows for security, operations, and attendance use cases.
Details
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Delivery method
Deployed on AWS
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/user/hour |
|---|---|---|
users tracked | number of users tracked per hour | $0.0025 |
hours consumed per camera | total number of hours consumed per camera | $0.20 |
Dimensions summary
You pay based on usage, not a fixed subscription. Two metering dimensions drive your cost. The first tracks the number of users identified per hour by the facial recognition system. The second counts the total hours each connected camera consumes. Both use an hourly unit, so your bill scales with how many people you track and how long each camera runs. Adding more cameras or monitoring more users raises usage. These dimensions work together to reflect actual system activity across your attendance deployment.
Top-of-mind questions for buyers
A user tracked is any individual the facial recognition system identifies from a camera's live video feed within a given hour. The system matches detected faces against your stored image database. Each identified person contributes to the users-tracked metric, counted hourly across your attendance deployment.
Both dimensions meter separately and appear on the same invoice. Users-tracked scales with how many people the system identifies each hour. Camera-hours scales with how long each connected camera runs. Sites with many people identified see the user metric dominate; always-on cameras with few people see camera-hours weigh more.
Camera-hours accrue for each hour a connected camera runs, whether or not people appear. Users-tracked accrues only when the system identifies individuals. So an active camera with no detections still adds camera-hour usage but no user-tracking usage during that period.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Support is provided through email, phone, and dedicated customer coordination. Buyers can expect assistance with onboarding, deployment guidance, configuration, issue triage, and operational support for the product environment. Standard support includes response-based assistance for product questions, setup issues, and troubleshooting.
Customers may also opt for a dedicated support POC for more closely managed engagement, including prioritized coordination, deployment follow-up, configuration guidance, and ongoing operational assistance. This option is recommended for enterprise rollouts, multi-site deployments, and customers who require a single point of contact for faster resolution and continuity.
Support contact : sourav.mondal@adamastech.in Any queries can be posted to this email.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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