“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation from Omdia

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/advanced-presence-sensing-what-it-means-for-the-smart-home-a-presentation-from-omdia/ Jack Narcotta, Principal Analyst for the Smart Home at Omdia, presents the “Advanced Presence Sensing: What It Means for the Smart Home” tutorial at the May 2023 Embedded Vision Summit. Eventually, homes will become highly autonomous—powered by ubiquitous, connected, intelligent devices (sometimes referred to as ambient computing)—but this remains a distant vision. In the meantime, advanced presence sensing innovations from component manufacturers, software developers and smart home device companies are enabling meaningful improvements in convenience, efficiency and safety. Omdia expects advanced presence detection to be adopted rapidly in the coming years, and to become a key factor in how consumers select devices and service providers. In this talk, Narcotta provides an overview of key enabling technologies, market appetite, consumer expectations and long-term outlook for advanced presence sensing in the home.

Technology

Information Classification: General
Advanced Presence Sensing:
What It Means for the
Smart Home
Jack Narcotta
Principal Analyst, Smart Home
Omdia: Brought to you by Informa Tech

Information Classification: General
• 2023: the year presence detection becomes present?
• Main topics of discussion:
• How is “presence detection” defined?
• Technologies/protocols enabling presence detection
• Consumer demand and potential use cases
• Long-term outlook for presence detection
Advanced Presence Sensing: What It Means
for the Smart Home
2
© 2023 Omdia: Brought to you by Informa Tech

Information Classification: General
Advanced Presence Sensing: Solution Types
3
© 2023 Omdia: Brought to you by Informa Tech
2000s 2010s 2020s 2030s
Intelligent
Understanding
Persistent Awareness
Differentiated
Detection
Motion Tracking
Motion Detection
Ambient computing; the “Holy Grail”
Mostly automatic adjustments room-to-room
Distinguish people/pets from objects
Follow detected objects across field of view
Basic, binary detection; “yes” or “no”

Information Classification: General
Advanced Presence Sensing: Timeline
4
© 2023 Omdia: Brought to you by Informa Tech
Level 0
Level 1
Level 2
Level 3
Level 4
Differentiated
Detection
Motion
Detection
Motion
Tracking
Persistent
Awareness
Intelligent
Understanding
2000s 2010s 2020s 2030s

Information Classification: General
Advanced Presence Sensing:
State of the Market Today
5
© 2023 Omdia: Brought to you by Informa Tech
Bluetooth: Fast and simple with a catch or two
• Familiar and ubiquitous; limited range and signal strength
Wi-Fi: Almost everywhere; coverage issues linger
• Utility-like service; mesh Wi-Fi to the coverage rescue?
GPS: Enhanced accuracy with a few caveats
• Trusted, familiar; power-hungry, not as effective indoors
Emerging solutions: not just science fiction
• Radar, sonar and other audio processing, thermal

Information Classification: General
Advanced Presence Sensing:
Cameras are Key to the Future
6
© 2023 Omdia: Brought to you by Informa Tech
Enhanced facial and person recognition
• Rapid improvement; soon to be a default offering?
Contextual awareness once presence is detected
• Combine embedded components with cloud analytics
Autonomous collaboration with other devices
• Tracking throughout the home; Matter plays a role here
Emerging solutions: not just science fiction
• Personalized smart rooms based on who is detected

Information Classification: General
• Self-installed consumer
cameras purchased from
retailers are the foundation of
any presence sensing solution
• Solutions provided by
communications service
providers (ISPs, telcos,
interactive security providers)
will have more prominent
roles over the next 10 years
Advanced Presence Sensing: Starting Points
7
© 2023 Omdia: Brought to you by Informa Tech

Information Classification: General
• Discreet, camera-free
presence detection of
motion (including gait,
stability) and lack of
motion are in demand
• Working with patient
information and
privacy regulations will
be a challenge
Advanced Presence Sensing: Aging-in-Place
Emerges as a Potentially Perfect Use Case
8
© 2023 Omdia: Brought to you by Informa Tech

Information Classification: General
Advanced Presence Sensing: Market Dynamics
9
© 2023 Omdia: Brought to you by Informa Tech
Presence detection inhibitors
• Complex solutions weaken
consumer interest
• The “smart home as a service”
finish line is far, far away
Presence detection drivers
• Consumers desire more
context from smart home
alerts and notifications
• Brands eager to create
subscription-based services

Information Classification: General
Advanced Presence Sensing: Outlook
10
© 2023 Omdia: Brought to you by Informa Tech
Presence detection is the start of ambient computing
• Binary (occupied/empty, open/closed) sensors and solutions
will rapidly evolve into intelligent endpoints
• Context is king for consumers
• More meaningful notifications, less spammy alerts
Buckle up, software developers and component makers
• The speed at which presence detection will enter the market
will be impressive
• Companies facilitating or enhancing presence detection need
to be careful to not implement tech for tech’s sake

Information Classification: General
Thank you – enjoy the rest of the summit!
11
© 2023 Omdia: Brought to you by Informa Tech
Recent Smart Home Research by Omdia
Omdia's Smart Home Intelligence Service
Key smart home trends from calendar 1Q23
Calendar 1Q23 update on Matter

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“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/sensor-fusion-techniques-for-accurate-perception-of-objects-in-the-environment-a-presentation-from-sanborn-map-company/ Baharak Soltanian, Vice President of Research and Development for the Sanborn Map Company, presents the “Sensor Fusion Techniques for Accurate Perception of Objects in the Environment” tutorial at the May 2023 Embedded Vision Summit. Increasingly, perceptual AI is being used to enable devices and systems to obtain accurate estimates of object locations, speeds and trajectories. In demanding applications, this is often best done using a heterogeneous combination of sensors (e.g., vision, radar, LiDAR). In this talk, Soltanian introduces techniques for combining data from multiple sensors to obtain accurate information about objects in the environment. Soltanian briefly introduces the roles played by Kalman filters, particle filters, Bayesian networks and neural networks in this type of fusion. She then examines alternative fusion architectures, such as centralized and decentralized approaches, to better understand the trade-offs associated with different approaches to sensor fusion as used to enhance the ability of machines to understand their environment.

“Updating the Edge ML Development Process,” a Presentation from Samsara

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/updating-the-edge-ml-development-process-a-presentation-from-samsara/ Jim Steele, Vice President of Embedded Software at Samsara, presents the “Updating the Edge ML Development Process” tutorial at the May 2023 Embedded Vision Summit. Samsara (NYSE:IOT) is focused on digitizing the world of operations. The company helps customers across many industries—including food and beverage, utilities and energy, field services and government—get information about their physical operations into the cloud, so they can operate more safely, efficiently and sustainably. Samsara’s sensors collect billions of data points per day and on-device processing is instrumental to its success. The company is constantly developing, improving and deploying ML models at the edge. Samsara has found that the traditional development process—where ML scientists create models and hand them off to firmware engineers for embedded implementation—is slow and often produces difficult-to-resolve differences between the original model and the embedded implementation. In this talk, Steele presents an alternative development process that his company has adopted with good results. In this process, firmware engineers develop a general framework that ML scientists use to design, develop and deploy their models. This enables quick iterations and fewer confounding bugs.

“Combating Bias in Production Computer Vision Systems,” a Presentation from R...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/combating-bias-in-production-computer-vision-systems-a-presentation-from-red-cell-partners/ Alex Thaman, Chief Architect at Red Cell Partners, presents the “Combating Bias in Production Computer Vision Systems” tutorial at the May 2023 Embedded Vision Summit. Bias is a critical challenge in predictive and generative AI that involves images of humans. People have a variety of body shapes, skin tones and other features that can be challenging to represent completely in training data. Without attention to bias risks, ML systems have the potential to treat people unfairly, and even to make humans more likely to do so. In this talk, Thaman examines the ways in which bias can arise in visual AI systems. He shares techniques for detecting bias and strategies for minimizing it in production AI systems.

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