Page 32 - EE Times Europe Magazine | February 2020
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30 EE|Times EUROPE
            New Sensor Capabilities Enable Faster Adoption of IoT Technologies



                                                                    Integrated solutions from ams substantially reduce development
                                                                  and production time and risk compared with assemblies of discrete
                                                                  components, and they occupy a smaller area. These compact 3D sys-
                                                                  tems for face recognition can therefore be embedded in a wide variety
                                                                  of smart-building or smart-factory systems.
                                                                    For example, face recognition could enable a resident’s home to
                                                                  open the gate or front door when it recognizes the face of any resi-
                                                                  dent, or other registered users, such as caretakers.
                                                                    3D face-authentication technology could also be used to make
                                                                  shopping a quicker and more convenient experience. In a supermar-
                                                                  ket, for instance, the shopper might select goods from the shelves
                                                                  and place them in the caddy. Upon exiting the shop, wireless scanners
                                                                  would automatically log the products that the shopper is buying and
                                                                  authenticate payment by matching the shopper’s face to a previously
                                                                  registered  D image, then automatically generate a bill in the user’s
                                                                  bank account.
                                                                    The capabilities of infrared optical sensing will even stretch beyond
                                                                  face recognition to support more IoT use cases. IR single-dimension
                                                                  (1D) time-of-flight (ToF) sensors are used today for accurate ranging
                                                                  — for instance, to support the auto-focus function in cameras. Just as
                                                                  in 3D face recognition, advanced VCSEL emitter technology and IR
            Figure 3: A 3D infrared depth map enables accurate facial    photosensing capability can be integrated into miniature modules to
            recognition in a wide variety of operating conditions.    be embedded in almost any type of device.
            (Image: iStock.com/ams AG)                              The job of cleaning the interior of a building, for example, has
                                                                  for decades resisted engineers’ efforts at automation and remains a
                                                                  largely manual chore. ToF ranging sensors, however, could form a cru-
            of the effect of lighting on health and well-being. And now, ams has   cial element in future robotic solutions that can autonomously learn
            introduced a device, the chip-scale AS7350, which is small enough to   the layout of a house and then efficiently program the robot’s route
            be embedded into any type of lighting fixture.        around each room, avoiding walls, steps, cables, and other obstacles.
              In tunable white-lighting fixtures, the spectral information pro-
            vided by the AS7350 allows for the dynamic configuration of light   NEW INNOVATIONS IN SILICON AND SOFTWARE
            output in combination with ambient light to provide a user-spec-  Many electronic product manufacturers have plans to introduce new
            ified spectral power distribution. Using spectral measurements   versions of their products that offer users the benefits of integration
            obtained by an AS7350 sensor mounted in a luminaire or control   into IoT infrastructure. Quite reasonably, they are often most con-
            panel, tunable white lighting can be made to mimic the natural   cerned with the difficulties of implementing data communication and
            change in the spectrum of sunlight throughout the course of the   data analytics and of providing end users with valuable applications
            day, in a range from a strong skew toward blue hues in the hours   hosted in the cloud.
            before and after midday to rich, golden yellow with reduced blue   New solutions to these problems are continually being brought
            content toward dusk (Figure 2).                       to market. But of equal significance to IoT device manufacturers are
              Likewise, elderly people have less visual acuity in the blue end of   the developments in sensor technology that are going to support a
            the visible light spectrum when compared with the young. To properly   new generation of smart, personalized systems in applications such
            see objects with strong blue content, the elderly need lighting that   as home and building automation and lighting. These new sensor
            emphasizes blue wavelengths. In a home shared by adults and one or   types are characterized by their use of semiconductor technology to
            more elderly parents, for example, the lighting controls could produce   achieve high measurement performance in a small footprint and by
            a personalized spectral output tuned to their different needs.  their integration of peripheral components and of software to provide
                                                                  complete solutions for sophisticated applications such as spectral
            KNOWING WHO THE USER IS                               sensing and facial recognition.
            IoT systems such as smart lighting can also benefit from another   Advanced sensor technology and solutions are thus at the leading
            advanced sensor technology to heighten the sense of automatic   edge of technology developments for the IoT — and it is a field in
            operation: 3D optical face recognition. This optical technology, suc-  which ams continues to play a leading role. ■
            cessfully used in smartphones today, could register the identity of a
            user and set operating parameters unique to them — for instance, by         Félix Marchal is vice president of
            adjusting the spectral content of the lighting to reflect the prefer-       global application marketing and
            ences of the occupant(s).                                                   business development for the Home
              The operation of 3D sensing has already been proven to be reliable        and Building Automation/IoT market
            in phones, achieving very low false-acceptance and false-recognition        at ams. He is a leading expert in IoT/
            rates. Increasingly, integrated chip-scale or modular solutions for 3D      M2M, with 28 years of experience in
            face recognition are coming onto the market for use in any electronics      the semiconductor and telecommuni-
            system, not only the mobile phone.                                          cations industries. Before joining ams,
              For example, the various infrared vertical-cavity surface-emitting        he worked for 12 years as executive vice
            laser (VCSEL) emitters and IR photodetectors from ams are offered as        president for global sales and market-
            complete solutions, including the optical stack, and with software for      in   as  e   as c ie  prod ct o cer  or
            depth-mapping and face recognition configured to run on the Android   Telit Communications, and led both direct and indirect sales teams for
            mobile operating platform (Figure 3).                  n neon and  e as  nstr  ents.

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            FEBRUAR                                                                   www.eetimes.eu | NOVEMBER 2019
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