- Exploring the audio sensor capabilities
- Find new opportunities to fully utilize acoustic technologies
- Identify future applications
- Maximize and expand the number and variety of sonic devices in different market segments
The group sought to define what an acoustic sensor is today and what it might be in the future. Using the following definition, the group characterized opportunities in various market segments and investigated challenges.
An audio sensor is a device that performs acoustic signal acquisition and analysis.
It will consist of the following functions:
- Getting signal (Detection and/or Acquiring)
- Conversion (optional)
- Processing & Analysis
- Reaction
The following table lists the opportunities that the group identified. While indentifying the opportunities, the group recognized challenges that include technology, markets and adaptation. Specific follow up actions will include refining how we describe the opportunities and investigating how the industry can cooperate to enable these opportunities and build consumer trust and interest.
Click on the table to get a larger view of it in a new window.

Affected Market Segments, in priority order:
Home |
Childcare |
Home |
Elderly Response |
Industrial |
Avionics |
Home |
Security System |
Industrial |
Maritime |
Mobile |
Wearable |
Mobile |
Smartphones |
Industrial |
Manufacturing |
Public Safety |
Emergency Warning |
Agriculture |
|
Entertainment |
|
Voice |
Emotion/Mood |
Military |
|
The group referenced these reports from previous years of Project Bar-B-Q:
- 2014 BBQ - Audio opportunities in the Internet of Things
- 2013 BBQ - Using Sensor Data to Improve the User Experience of Audio Applications
- 2012 BBQ - Form Factors and Connectivity for Wearable Audio Devices (AKA Clothing Optional)
Audio sensor is a device that performs acoustic signal acquisition and analysis.
- Active or passive component
- Analog or digital
- Human audible or inaudible
- Distributed or local system.
- Analysis and/or processing
- Auto ( Emergency vehicle approximation, back up detector, audio zoning through sound detection, driver awareness and health monitors, secondary sensor - accident indicator)
- Home
- Child Care (Monitor temperature, heartbeat, breath rate, abnormal vocalization)
- Security System (broken glass detection, gunshot detection, identification of people or occupancy)
- Elderly Response (slip and fall detection, detection of activity)
- Medical (Medical patch)
- Public Safety
- Emergency Warnings (Sirens detection, gunshot detection, environmental detection)
- Child Care (Monitor temperature, heartbeat, breath rate, abnormal vocalization)
- Geological (seismic activity, avalanche, landslide)
- Industrial
- Maritime (Mechanical malfunction)
- Avionics (engine status, fire detection, pressure leak detect, maintenance checks)
- Manufacturing (maintenance of machines – bearing noise, quality control, detection of holes during construction or manufacturing, detecting fatigue)
- Geological (detection of natural resources, detection of seismic event prompting shutdown)
- Consumer (Touch less tablet pen plus microphone)
- Mobile
- Wearable (Contextual awareness, event trigger, monitor temperature, heartbeat, breath rate, abnormal vocalization, finger print detection)
- Entertainment (mapping a room by an impulse response, compensation of room for playback)
- Military (shot detection, bomb detection, supersonic detection, noise cancellation of mechanical noise, hacker intrusion detection)
- Agriculture (insect and animal detection, weather detection, theft detection)
- Voice
- Emotion/mood
- Language detection
Multiple categories
Contextual awareness, Voice recognition
Solutions
Near Term Opportunities
Long Term Opportunities
- Array of mics (distributed) in home, auto
- Processed locally or in the cloud :: high capability in both
- Light Switch
- Light Bulb
- Always on, ready to assist
- Standards organization
Challenges
- Power across all the those devices
- Is the echo now the baseline
- Baseline of investment into the market
- How to exceed? How soon?
- Will intelligence/processing be local (soon?) or in the cloud
- Competing technologies
- Radar
- Lidar
- Cameras
- Depth of field/ time of flight
- Visual spectrum
- Image processing
- Eye gazing technology
- Watching truck drivers – alert them when they are falling asleep
- Accelerometers
- Pressure sensors
- Technology Challenges
- Power consumption
- Manufacturing device – size
- Environmental situation
- Algorithm
- Data
- Material
- Business Challenges
- Estimation of ROI to executive staff
- Consumer adaptation
- Personal privacy
- Financial security
- Feature too early for market
New audio sensors
- Integrated optics
- Advantage processing in the analog optical domain vs DSP domain should be faster
- Nano technology
- Newer material for power, size and efficiency
- Pressure sensor microphones
- Integrated with other sensors
- Adaptation of form factors
- Omni directional or array mics with configurable beam directionality
- Microphone with finger print using ultrasonic
Market enablers
Gathering and training the models based on the data to classify various events
section 4 |