Kevin Benedict Ponders the Future: flir

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Sensors - Sensing and Sharing the Physical World

Global Sensor Data

We spend a lot of time talking and writing about the IoT (Internet of Things) in the macro, as a giant worldwide network of objects and things, communicating with themselves and others. That is indeed interesting, but the most interesting components of the IoT, in my opinion, are the sensors. Sensors are defined as, "Devices that detect or measure a physical property and record, indicate, or otherwise responds to it." In the context of IoT, sensors detect or measure a physical property and then communicate the findings wirelessly to a server for analysis. Sensors are our digital fingers that touch and feel the earth and environment!

Just last week I read this about a new iPhone patent, "The patent is titled “Digital camera with light splitter.” The camera described in the patent has three sensors for splitting color. The camera would split colors into three different rays. These would be red, green and blue. The splitting of colors is designed to allow the camera to maximize pixel array resolution." This patent potentially could help Apple improve the image quality of its mobile cameras, especially in video. In other words, it will help iPhones better capture, display and share the scenes on our planet for viewing.

At the Mobile World Congress in Barcelona this year I saw demonstrated an iPhone add-on from the company, Flir. It was a Personal Thermal Imagery Camera. You connect it to your iPhone and then you can find leaky pipes in your wall, overloaded electrical breakers, or even spot live rodents hiding in your walls. You can use it in your boat to spot floating debris in the water in the dark or use while hiking in the dark to spot hidden predators preparing to devour you. I WANT ONE NOW!

Sensors measure and collect data and can be connected to just about any piece of equipment. Satellite cameras are sensors. There are audio and visual sensors. There are pressure and heat sensors. There are all kinds of sensors. One of the most interesting sensor technologies I have been researching of late is hyper spectral remote sensors.

Hyper spectral sensors combined with GIS (geospatial information systems) information and Big Data analytics are a powerful mix. These sensors can be integrated into very powerful cameras. Hyper spectral remote sensing is an emerging technology that is being studied for its ability to detect and identify minerals, terrestrial vegetation, and man-made materials and backgrounds. I want one!

Hyper spectral remote sensing combines imaging and spectroscopy (spectroscopy is a term used to refer to the measurement of radiation intensity as a function of wavelength) in a single system, which often includes large data sets that require Big Data analytics. Hyper spectral imagery is typically collected (and represented) as a data cube with spatial information collected in the X-Y plane, and spectral information represented in the Z-direction.

hyper spectal imaging

What can be done with hyper spectral remote sensing? Using powerful hyper spectral cameras one can detect unique noble gases (each unique gas emits a unique color on the spectrum), different inks, dyes and paints (each have different characteristics that can be uniquely identified). You can detect, identify and quantify chemicals. You can detect chemical composition and physical properties including their temperature and velocity all with a camera!

Taking a hyper spectral image of an object, connected to real-time Big Data analytics, can tell you an amazing amount of information about it. Theoretically, a hyper spectral image of a person combined with facial recognition can identify a person, their shampoo, make-up, hand lotion, deodorant, perfume, the food they ate, chemicals they have been in contact with and the materials and chemicals used in their clothes. OK, the implications of this technology for personal privacy are really creepy, but the technology itself is fascinating.

Theoretically hyper spectral remote sensing systems can be used for healthcare, food monitoring, security at airports, for public safety, in intelligence systems and integrated with drone and satellite surveillance systems.

Today, luckily, these cameras are far too expensive for me.

Related Articles: http://mobileenterprisestrategies.blogspot.com/2015/04/iot-sensors-tactile-feedback-iphones.html

Related Video: http://mobileenterprisestrategies.blogspot.com/2015/03/iot-and-sensors-from-ams-at-mwc15.html
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Kevin Benedict

Writer, Speaker, Senior Analyst

Digital Transformation, EBA, Center for the Future of Work Cognizant

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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

IoT Sensors, Tactile Feedback, iPhones and Digital Transformation

IoT sensors extend our physical senses beyond our physical reach and communicate the results from afar. They also allow us to share experiences remotely, not just mentally, but also tactilely. That is the first time I have ever used the word “tactilely.” It means to tangibly or physically experience something. For example, AMS’s MEMS gas sensor allows people to hear, see and smell inside their home remotely from an iPhone app. The Withings Home camera sends alerts to an iPhone if it detects movement or noise in the house. Its night-vision sensor mode enables the remote viewer to even see in the dark. The viewer can also talk through the camera to ask questions like, “Who are you, and why are you carrying my big screen TV away?”

Today you can combine 3D modeling apps for smartphones and tablets with sounds, vibrations and colors so you can augment your reality with tactile experiences. Wireless sensors and 3D modeling and visualization tools enable you to see and monitor conditions at distance - in real-time. A combination of sensors, analytics, visualization and tactile feedback tools can alert and inform you of changing conditions, patterns or variations in activity or data patterns. This experience can truly augment your reality.

The new Apple Watch enables you to signal somebody on the other side of the world with tactile vibrations that you customize. For example, while on the road I can signal my wife that I miss her by sending five quick “pulses” that vibrate on her wrist.

Digitally modeled realities enable experts, from anywhere in the world, to work and manage factories, farms and other kinds of operations from distant locations. The obstacles of the past, lack of information and monitoring capabilities, that resulted in operational blind spots are quickly disappearing as more sensors are put in place. Most of us either own or have seen noise canceling headsets. Sensors in the headset capture the incoming noise and then instantly counter with anti-sound that matches the sensor data. This same kind of sensor technology can capture noise and transmit it to distant locations where it can be recreated and listened to by others.

I can image near-term scenarios where entire factory floors are digitally replicated and real-time operations can be viewed and managed from great distances. Every component of the operation can be monitored via sensor data. Aberrations, out of compliance data, and other faults would instantly cause alerts, notifications and remedies to be implemented.

In the military arena, acoustical sensors can now pin-point the location of incoming bullets, rockets, missiles, etc., in real-time and activate various instantaneous counter measure technologies. Data means power.

Today's competitive marketplace requires companies to collect more data, analyze more data and utilize more data to improve customer interactions and engagements. Mobile devices are exceptionally designed to assist in this effort. Apple's iPhone and Apple Watch come with an array of sensors for collecting data about your surroundings:

Touch/Multi-Touch screen sensor
Force Touch sensor– measures different levels of touch (Apple Watch), determines the difference between a tap and a press
Taptic Engine sensor – tactile feedback via gentle vibration(Apple Watch)
Audio/Voice sensor
GPS sensor
Bluetooth sensor (supports iBeacon)
WiFi sensor
WiFi strength sensor – help track indoor activities
Proximity sensor - deactivates the display and touchscreen when the device is brought near the face during a call, and it shuts off the screen and touch sensitivity
Ambient Light sensor - brightens the display when you’re in sunlight and dims it in darker place
Magnetometer sensor - measure the strength and/or direction of the magnetic field in the vicinity of the device – runs digital compass
Accelerometer sensor- measures the force of acceleration, i.e. the speed of movement (uses movement and gravity sensing), steps counter, distance, speed of movement, detects the angle an iPhone is being held
Apple Watch sensors measure steps taken, calories burned, and pulse rate
Gyroscope – 3 axis gyro (combined with Accelerometer provides 6 axis motion sensing), Pitch, Roll and Yaw
Barometer sensor – altitude, elevation gain during workouts, weather condition
Camera sensor with a plethora of sensors and digital features: face detection, noise reduction, optical image stabilization, auto-focus, color sensors, backside Illumination sensor, True Tone sensor and flash
Fingerprint identity sensor
Heart rate sensor (Apple Watch) - uses infrared and visible-light LEDs and photodiodes to detect heart rate Sensor

Other sensor add-ons: Personal Thermal Imagery Cameras sensor (Flir)

I attended a defense related conference and listened to an IT expert in the CIA present on how they can use sensors on smartphones to uniquely identify the walking style and pace of individuals. For example, the intelligence agency may suspect a person carrying a phone is a bad guy. They can remotely switch on the smartphone's sensors and record the walking style and pace of the person carrying the phone and match it with their database records.

Sensors help bridge the gap between the physical and digital worlds. They convert the physical world into data. Tactile feedback tools convert the data back into physical experiences – like a Star Trek Transporter.

Mobile apps can also be considered the API (application programming interface) between humans and smartphones. Sensors are the API between the phone and the physical world. For example, a mobile application for recommending local restaurants may start by asking the user what kind of food they prefer. The human queries their stomach for pain and preferences, and then inputs the results into mobile apps by touching the keypad or using their voice. Suddenly a server in an Amazon data center knows your stomach's inputs! That is one powerful sensor and API! Given the vast array of sensors in the human body incredible things can be done once those sensor convert them to data.

Until recently, the data from natural sensors in the human body were mostly communicated to analytics engines via human's touch, typing, drawings or voice inputs. The emergence of wearable sensors and smart devices, however, change that. Wearable sensors can bypass the human in the middle and wirelessly communicate directly with your applications or healthcare provider.

Sensors and computers are also connected to the non-physical. Applications can react differently based on recognized time inputs. Once time reaches a specified location (place?), an alarm can be activated sending sound waves to your physical ear. That is converting the non-physical (time) into sound waves that vibrate our ear drums.

The challenge for businesses today is to envision how all of these sensors and available real-time data can be used to improve sales, customer service, product design, marketplace interactions and engagements so there are more profits at the end of the day.

In the book Digital Disruptions, James McQuivey writes that for most of history, disruptions (business and marketplace transformations) occurred in a physical world of factories and well-trod distribution networks. However, the disruptors of tomorrow are likely coming from digital disruptions - sensors, code halos, big data, mobile devices and wearables.

The task and challenge of every IT department is to understand and design a strategy that recognizes the competitive playing fields of tomorrow are among the digits.

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