Connected Experiences
Bring devices, sensors, and control systems together to support a more consistent and connected living experience.
Build a more connected living experience with intelligent computing, responsive sensing, and integrated smart home technologies designed around real-world needs.
Smart home technology should do more than connect devices. It should help create living spaces that are more comfortable, responsive, and efficient.
Bring devices, sensors, and control systems together to support a more consistent and connected living experience.
Use contextual data and intelligent processing to support timely responses to changes in the home environment.
Build solutions around different devices, system requirements, and deployment scenarios with a flexible integration approach.
A smart home ecosystem brings sensing, computing, connectivity, and automation into a coordinated environment.
Every smart home environment has different requirements. An effective solution starts by understanding how devices communicate, how data is processed, and how the overall system should respond.
Discover how AI vision, edge computing, and motion intelligence can bring greater awareness, responsiveness, and personalization to connected living environments.
Utilize AI vision technology to identify people, pets, and relevant environmental changes in supported smart home applications.
By interpreting visual information, intelligent systems can support real-time awareness, improve monitoring capabilities, and enable more context-aware responses within living spaces.
Process data locally using edge AI computing platforms to support responsive processing and efficient system operation.
Local processing can help reduce communication latency and limit the need to transmit all data to the cloud, supporting privacy-conscious deployment and reliable performance according to the application requirements.
Apply AI vision technology to track body angles, movement patterns, and exercise performance in supported fitness applications.
Real-time motion analysis can help deliver intelligent fitness feedback and personalized exercise guidance, with processing options designed around the application's performance and privacy requirements.
Explore the key technology areas that can help support connected, intelligent, and adaptable home environments. Select any item below to learn more.
Edge computing enables data to be processed closer to where it is generated. Depending on the application, this can help support responsive processing, local decision-making, and reduced reliance on sending every data point to the cloud.
Sensors can provide information about environmental conditions, device status, and activity within a living space. When integrated with suitable processing and control systems, this information can support more context-aware experiences.
A connected home may include products from different technology categories. Integration planning helps define how devices, communication interfaces, and control functions work together.
Automation connects system inputs, defined rules, and control actions to support repeatable responses. The actual behavior depends on the selected hardware, software, sensors, and application requirements.
Different projects have different requirements for performance, interfaces, size, connectivity, and integration. A modular approach can help align the solution with its intended deployment.
Connected technologies can support a range of smart living scenarios, depending on the devices, integrations, and system design selected for each project.
Combine environmental sensing and connected controls to support more responsive indoor environments.
Integrate relevant sensors and connected systems to support monitoring, notifications, and situational awareness.
Coordinate supported devices and predefined workflows to simplify routine tasks and connected interactions.
Bring multiple device categories into a coordinated solution designed around the needs of a specific living space or application.
Start with the application, define the system requirements, and build an integration approach around the intended user experience.
Identify the use case, connected devices, processing needs, interfaces, and deployment constraints before selecting the solution architecture.
Evaluate computing, sensing, connectivity, and control components to establish an integration plan aligned with project requirements.
Validate system behavior, refine the implementation, and consider future requirements as the solution moves toward deployment.
Every connected living project starts with a specific need. Tell us about your application, integration goals, and system requirements so we can explore a suitable approach together.
There are no products to list in this category.