Combine AI, IoT, and Connectivity for Smart Manufacturing
Improve efficiency and responsiveness, especially around workplace safety. Detect security threats and be proactive to stay one step ahead. Combine AIoT evidence for maximum impact.
Gain real-time Industry 4.0 operations and effectiveness insights to create smart environments, including PLC and SCADA system integration, robotic automation, predictive maintenance, quality assurance, and facility and inventory management.
Expand resilient access to urban and remote locations with 4G IoT connectivity, and prepare for 5G and beyond.
Smart Manufacturing addresses the challenges faced by Industry 4.0 that companies rely on to run their manufacturing floor and businesses through AI and IoT-enabled features combined with ultra-fast wireless connectivity that seamlessly integrates into the digital environment.
Most Common Use Cases
How it Works
Edge Sensors & Cameras
Connect existing cameras or new cameras to our edge compute device to automatically analyze video and IoT data. We provide a 200-plus IoT sensor catalog for you to monitor the health and safety of your environments.
Our solutions include 4G LTE / 5G connectivity to connect all devices into a single platform – plus easily manage, monitor and scale all AIoT solutions.
Deep learning-based AI and IoT data is being processed at the edge in a single end-to-end platform.
IoT and AI Analytics
Connect your existing or new cameras to our edge compute device to start gathering highly accurate AI video analytics for real-time alerts and insights.
Uses AI and analytical tools to predict outcomes and trends. The platform allows you to create and change the rules to set up alerts and notifications. It is also, compatible with 3rd party AI and sensors for best-of-breed solutions
Customer-facing platform to provide the end user with real-time alerts, video monitoring and data visualization. The platform is fully containerized to allow for deployment at the edge, on-premise or in the cloud.
Make intelligent, data-driven decisions by combining AI and IoT in real-time in an open, extendable AIoT platform