OnSiteMonitor

Camcloud is a cloud video surveillance platform that replaces complex on-site systems with a hardware-free, serverless solution that connects existing IP cameras directly to the cloud for remote monitoring, secure storage, and management. It supports an open platform of almost any IP camera with plug-and-play setup and works across environments, including businesses, multi-location enterprises, off-grid sites, retail/restaurant locations, community security, and home video monitoring. It offers flexible cloud storage options from short-term to long-term archival, mobile and web apps for live viewing and playback, AI-powered analytics and object detection for smarter alerts, camera health monitoring, and notifications. Camcloud’s cloud architecture eliminates the need for NVRs/DVRs or complex infrastructure, simplifies deployment over varied networks (including 4G/5G or satellite), and centralizes multi-site surveillance under one account.

Actcast is an edge-AI IoT platform service that links events and data from the physical world to the Web by performing deep learning inference on edge devices, enabling real-time sensing, analysis, and integration of physical data with online systems while reducing data transfer costs and privacy risks. It uses edge computing to run deep learning models locally on low-cost hardware such as Raspberry Pi, converting raw sensor and camera input into actionable, semantic data that can be sent to web services or applications. It supports deployment, remote management, and monitoring of IoT applications (“Acts”) across many devices, and provides tools such as an SDK and command-line interface to develop, package, and deploy applications in Docker containers that process input and send summarized results. Actcast also includes features for managing device groups, configuring triggers and webhooks to notify events, and handling updates and device status from a centralized dashboard.