Fleet and appliance operations
Customer and support teams can see appliances, cameras, account scope, coverage, setup gaps, and health signals in a single operational view.
IntelliSee case study.
The customer, partner, and support web application behind IntelliSee, an AI security system that adds threat detection to existing cameras.
CustomerPartnerSupport
IntelliSee / Production platform
IntelliSee case study: the web platform behind an AI security system.
IntelliSee adds real-time threat detection to existing security cameras. QC Devworks built the web application used to configure that monitoring, review detections, manage the appliance fleet, route alerts, report on readiness, support customers, and serve partner operations.
A connected application for customer, partner, and support teams, documented from the delivered product.
The product brief
Make a complex detection network easy to set up, monitor, and run.
The portal is the human layer around the detection system. It shows what is protected, what needs attention, what happened, who was notified, and what to do next.
- Role basedSeparate customer, partner, support, and platform-admin experiences.
- Evidence in one placeAlerts keep images, video, risk context, device, location, and review state together.
- OperationalConfiguration, diagnostics, reporting, support, and alert response live in the product.
Features we built for IntelliSee.
The production codebase includes the workflows below as connected parts of one product.
Camera configuration
The portal supports camera discovery, IP scanning, source configuration, masking, detection rules, locations, and alert-recipient setup.
Detection and alert review
A filterable alert log combines images, video, risk categories, cameras, locations, appliances, review state, saved views, and false-positive reporting.
Alert delivery and escalation
Recipient preferences, email and text delivery, live notifications, external integrations, and RapidSOS workflows connect a detection to the right response.
Reporting and readiness
Customers can track detection trends, review completion, camera coverage, setup gaps, top cameras, time patterns, user activity, and scheduled safety briefs.
Partner and support operations
Separate partner and platform-admin workspaces cover customer onboarding, estimates and orders, resources, support tickets, diagnostics, controlled support access, and release management.
How the platform works, from detection to response.
- 01Configure
Appliances, cameras, sources, masks, detection rules, locations, and recipients define each monitoring environment.
- 02Detect
Authenticated appliance traffic carries alert evidence and device context into the central application.
- 03Route
Notification rules and integrations deliver the event to the people and response systems that need it.
- 04Review and improve
Customers and support teams inspect activity, flag false positives, diagnose gaps, and track operational readiness.
The engineering underneath
The technology: ASP.NET Core, SQL Server, and real-time updates.
The application runs on ASP.NET Core 9 with SQL Server and Entity Framework Core. It combines role-based Identity, Microsoft SSO and customer Active Directory options, real-time SignalR updates, authenticated alert ingestion, replay protection, delivery integrations, liveness and readiness checks, guarded schema changes, verified backups, automated tests, and revision-locked IIS deployments.
Owned end to end
- Product strategy and workflow design
- Interface system and responsive front end
- Application logic, database, and APIs
- Camera, notification, emergency-response, identity, and appliance integrations
- Deployment, monitoring, iteration, and ongoing product operations
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