Sensor Software

Connecting the Physical World Reliable sensor software forms the backbone of IoT and digital transformation projects. It captures insight from physical phenomena, cleaning and normalizing readings into structured data. Applications use this information for automation, predictive maintenance, environmental monitoring and other purposes. When integrated into platforms, sensor software fuels data-driven decisions through ubiquitous digital access to the real world.

Industrial Sensors

Develop firmware and middleware to collect readings from sensors monitoring manufacturing machines, production line tools, inventory levels in warehouses, environmental conditions affecting quality etc.

Wearable Technology

Create software capturing biometric data, motion patterns, environmental exposures and more from smartphones, smartwatches and AR glasses. This data fuels apps improving health, fitness tracking, remote assistance, inventory management and more.

Smart Cities

Power networks of interconnected sensors in buildings, vehicles, infrastructure monitoring air/water quality, traffic patterns, structural integrity etc. The analytics improve efficiency, sustainability and safety through adaptive management of urban systems.

Retail Analytics

Employ sensor software to gain insights from contextualized data on customer demographics, peak shopping periods, most viewed/purchased products, shelf/display effectiveness and more, enhancing customer experience and operations.

Case study 1

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Go to Use Case Title

What Are the Advantages You Should Expect?

Insights

Extract value from raw sensor readings by transforming them into contextualized formats that reveal patterns and relate information to meaningful events through on-device processing.

Scalability

Build modularity and distributed processing capabilities to seamlessly integrate data from thousands of heterogeneous edge devices operating autonomously across locations.

Reliability

Engineer resiliency against intermittent connectivity through offline analytics, local storage and intelligent error handling to ensure mission-critical data continues flowing unimpeded.

Flexibility

Rely on open architecture and extensible APIs allowing dynamic addition of diverse sensor types and effortless upgrade of existing IoT systems over their lifespan.

Sensor Software

Case study 1

Go to Use Case Title

What Are the Advantages You Should Expect?

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