EdgeKinect is IoTKinect's cutting-edge platform for edge-level monitoring, data processing, and real-time control of distributed devices. Built to function across mobile, on-premise, and cloud deployments, EdgeKinect simplifies the management of sensors, gateways, and industrial protocols—making remote stations and industrial sites easier to monitor and automate.
1. Real-Time Data Processing:
Capture sensor data at the edge, reducing latency and enabling faster local decision-making. Supports multiple industrial protocols for immediate telemetry control.
2. QR-Code Sensor Onboarding:
Instantly onboard sensors and gateways via QR code, eliminating manual device entry. Minimizes human error and drastically cuts provisioning time for field agents.
3. Flexible Deployment Options:
Choose from mobile, on-premise, or cloud deployments to match your operational needs. Cloud solution hosted on Amazon AWS with multi-AZ load balancers and autoscaling.
4. Robust SCADA Integration:
Built-in support for supervisory control and data acquisition. Includes LoRaWAN Network Server and MQTT Broker for streamlined connectivity.
5. Scalable Architecture:
Adapts from small pilot projects to enterprise-scale implementations. Rich APIs facilitate easy integration with custom dashboards or automation platforms.
Companies across various sectors use EdgeKinect to:
While EdgeKinect provides a universal platform for edge monitoring and control, it includes three specialized sub-modules tailored to specific deployment models.
Focus: Lightweight edge monitoring and sensor onboarding in the field.
Ideal For:Rapid sensor deployments and on-site activations.
Focus: Full-scale edge control within a private, closed network.
Features: Strict data governance and SCADA integration for sensitive environments.
Focus: Highly available, AWS-powered solution for global scalability.
Advantage: Multi-AZ load balancing for enterprises with complex IoT environments.
Focus: Seamless connectivity with other IoTKinect modules and third-party systems.
Critical Benefit: Native integration with KinectLNS and open APIs for custom solutions.
OnPrem offers local redundancy, while Cloud leverages AWS multi-AZ failover for near-zero downtime. Automatic resource allocation accommodates sudden traffic spikes.
Intuitive dashboards for both technical staff and field technicians. Mobile sub-module's QR-code onboarding drastically simplifies sensor provisioning.
OnPrem ensures data remains within your private infrastructure. Cloud environment offers encrypted data channels, IAM policies, and compliance with major standards.
Native integration with KinectLNS for LoRaWAN device management and SimsKinect for cellular IoT SIM provisioning. Open APIs enable third-party integration and custom data pipelines.
Multi-channel notifications triggered by sensor thresholds or device anomalies. Supports local edge logic for immediate automated responses without cloud confirmation.
EdgeKinect is more than a remote monitoring tool—it's a platform for intelligent, edge-level automation that harmonizes on-site data collection, real-time analytics, and secure communication.
By offering Mobile, OnPrem, and Cloud sub-modules, EdgeKinect adapts to every operational scenario. Whether you're a field technician or a global enterprise, our solution ensures seamless, scalable IoT monitoring.
Explore our sub-modules to find the perfect fit for your IoT infrastructure: Mobile for rapid deployments, OnPrem for data sovereignty, or Cloud for global scalability.