PointGrab announced a white paper that explores the impact of deep learning-based smart sensor technology on building automation management. The white paper was developed to help building automation industry stakeholders, from device manufacturers to building managers, better understand the transformative and long-term benefits of deep learning-based technology.
The paper, “Smarter Sensors: How Deep Learning is Transforming Building Automation,” addresses the challenges and opportunities presented by Internet of Things (IoT) device proliferation and data collection and analytics throughout the smart building ecosystem. In this data-rich environment, sensors can be much smarter by sourcing and analyzing richer levels of data and enabling the execution of more sophisticated tasks that go far beyond traditional energy-consumption management.
White paper topics include:
- Edge computing as a key requirement for next-generation IoT smart sensors.
- Advantages of deep learning data-driven systems versus conventional rule-based systems.
- Deep learning-based smart sensors’ inherent scalability, flexibility and device-agnostic portability.
- Object tracking intelligence and the ability to understand occupant behavior and space utilization in building automation.
The white paper is available to download from PointGrab’s website.