sensors
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As impressive as the cameras in our smartphones are, they’re fundamentally limited by the physical necessities of lenses and sensors. Metalenz skips over that part with a camera made of a single “metasurface” that could save precious space and battery life in phones and other devices… and they’re about to ship it.
The concept is similar to, but not descended from, the “metamaterials” that gave rise to flat beam-forming radar and lidar of Lumotive and Echodyne. The idea is to take a complex 3D structure and accomplish what it does using a precisely engineered “2D” surface — not actually two-dimensional, of course, but usually a plane with features measured in microns.
In the case of a camera, the main components are of course a lens (these days it’s usually several stacked), which corrals the light, and an image sensor, which senses and measures that light. The problem faced by cameras now, particularly in smartphones, is that the lenses can’t be made much smaller without seriously affecting the clarity of the image. Likewise sensors are nearly at the limit of how much light they can work with. Consequently, most of the photography advancements of the last few years have been done on the computational side.
Using an engineered surface that does away with the need for complex optics and other camera systems has been a goal for years. Back in 2016 I wrote about a NASA project that took inspiration from moth eyes to create a 2D camera of sorts. It’s harder than it sounds, though — usable imagery has been generated in labs, but it’s not the kind of thing that you take to Apple or Samsung.
Metalenz aims to change that. The company’s tech is built on the work of Harvard’s Federico Capasso, who has been publishing on the science behind metasurfaces for years. He and Rob Devlin, who did his doctorate work in Capasso’s lab, co-founded the company to commercialize their efforts.
“Early demos were extremely inefficient,” said Devlin of the field’s first entrants. “You had light scattering all over the place, the materials and processes were non-standard, the designs weren’t able to handle the demands that a real world throws at you. Making one that works and publishing a paper on it is one thing, making 10 million and making sure they all do the same thing is another.”
Their breakthrough — if years of hard work and research can be called that — is the ability not just to make a metasurface camera that produces decent images, but to do it without exotic components or manufacturing processes.
“We’re really using all standard semiconductor processes and materials here, the exact same equipment — but with lenses instead of electronics,” said Devlin. “We can already make a million lenses a day with our foundry partners.”
The thing at the bottom is the chip where the image processor and logic would be, but the meta-optic could also integrate with that. The top is a pinhole. Image Credits: Metalenz
The first challenge is more or less contained in the fact that incoming light, without lenses to bend and direct it, hits the metasurface in a much more chaotic way. Devlin’s own PhD work was concerned with taming this chaos.
“Light on a macro [i.e. conventional scale, not close-focusing] lens is controlled on the macro scale, you’re relying on the curvature to bend the light. There’s only so much you can do with it,” he explained. “But here you have features a thousand times smaller than a human hair, which gives us very fine control over the light that hits the lens.”
Those features, as you can see in this extreme close-up of the metasurface, are precisely tuned cylinders, “almost like little nano-scale Coke cans,” Devlin suggested. Like other metamaterials, these structures, far smaller than a visible or near-infrared light ray’s wavelength, manipulate the radiation by means that take a few years of study to understand.
The result is a camera with extremely small proportions and vastly less complexity than the compact camera stacks found in consumer and industrial devices. To be clear, Metalenz isn’t looking to replace the main camera on your iPhone — for conventional photography purposes the conventional lens and sensor are still the way to go. But there are other applications that play to the chip-style lens’s strengths.
Something like the FaceID assembly, for instance, presents an opportunity. “That module is a very complex one for the cell phone world — it’s almost like a Rube Goldberg machine,” said Devlin. Likewise the miniature lidar sensor.
At this scale, the priorities are different, and by subtracting the lens from the equation the amount of light that reaches the sensor is significantly increased. That means it can potentially be smaller in every dimension while performing better and drawing less power.
Image (of a very small test board) from a traditional camera, left, and metasurface camera, right. Beyond the vignetting it’s not really easy to tell what’s different, which is kind of the point. Image Credits: Metalenz
Lest you think this is still a lab-bound “wouldn’t it be nice if” type device, Metalenz is well on its way to commercial availability. The $10 million Series A they just raised was led by 3M Ventures, Applied Ventures LLC, Intel Capital, M Ventures and TDK Ventures, along with Tsingyuan Ventures and Braemar Energy Ventures — a lot of suppliers in there.
Unlike many other hardware startups, Metalenz isn’t starting with a short run of boutique demo devices but going big out of the gate.
“Because we’re using traditional fabrication techniques, it allows us to scale really quickly. We’re not building factories or foundries, we don’t have to raise hundreds of mils; we can use what’s already there,” said Devlin. “But it means we have to look at applications that are high volume. We need the units to be in that tens of millions range for our foundry partners to see it making sense.”
Although Devlin declined to get specific, he did say that their first partner is “active in 3D sensing” and that a consumer device, though not a phone, would be shipping with Metalenz cameras in early 2022 — and later in 2022 will see a phone-based solution shipping as well.
In other words, while Metalenz is indeed a startup just coming out of stealth and raising its A round… it already has shipments planned on the order of tens of millions. The $10 million isn’t a bridge to commercial viability but short-term cash to hire and cover upfront costs associated with such a serious endeavor. It’s doubtful anyone on that list of investors harbors any serious doubts on ROI.
The 3D sensing thing is Metalenz’s first major application, but the company is already working on others. The potential to reduce complex lab equipment to handheld electronics that can be fielded easily is one, and improving the benchtop versions of tools with more light-gathering ability or quicker operation is another.
Though a device you use may in a few years have a Metalenz component in it, it’s likely you won’t know — the phone manufacturer will probably take all the credit for the improved performance or slimmer form factor. Nevertheless, it may show up in teardowns and bills of material, at which point you’ll know this particular university spin-out has made it to the big leagues.
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As we go deeper into the pandemic, many buildings sit empty or have limited capacity. During times like these, having visibility into the state of the building can give building operations peace of mind. Today, Verkada, a startup that helps operations manage buildings via the cloud, announced a new set of environmental sensors to give customers even greater insight into building conditions.
The company had previously developed cloud-based video cameras and access control systems. Verkada CEO and co-founder of Filip Kaliszan says today’s announcement is about building on these two earlier products.
“What we do today is cameras and access control — cameras, of course provide the eyes and the view into building in spaces, while access control controls how you get in and out of these spaces,” Kaliszan told TechCrunch. Operations teams can manage these devices from the cloud on any device.
The sensor pack that the company is announcing today layers on a multi-function view into the state of the environment inside a building. “The first product that we’re launching along this environmental sensor line is the SV11, which is a very powerful unit with multiple sensors on board, all of which can be managed in the cloud through our Verkada command platform. The sensors will give customers insight into things like air quality, temperature, humidity, motion and occupancy of the space, as well as the noise level,” he said.
There is a clear strategy behind the company’s product road map. The idea is to give building operations staff a growing picture of what’s going on inside the space. “You can think of all the data being combined with the other aspects of our platform, and then begin delivering a truly integrated building and setting the standard for enterprise building security,” Kaliszan said.
These tools, and the ability to access all the data about a building remotely in the cloud, obviously have even more utility during the pandemic. “I think we’re fortunate that our products can help customers mitigate some of the effects of the pandemic. So we’ve seen a lot of customers use our tools to help them manage through the pandemic, which is great. But when we were originally designing this environmental sensor, the rationale behind it were these core use cases like monitoring server rooms for environmental changes.”
The company, which was founded in 2016, has been doing well. It has 4,200 customers and roughly 400 employees. It is still growing and actively hiring and expects to reach 500 by the end of the year. It has raised $138.9 million, the most recent coming January this year, when it raised an $80 million Series C investment led Felicis Ventures on a $1.6 billion valuation.
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Like baseball, cricket relies on grass, dirt, wood, cork, spit, spin, drop and rise en route to either victory or loss. And like baseball — and just about any other sport, really — cricket coaching staffs and their players worldwide are looking for more ways to track every move.
Tracking statistics is nothing new. With each action, a player produces a stat that can be used to track improvement or struggle over a given period of time. But as players get stronger and stakes — financial and otherwise — get higher, a need for more specific data is proving necessary.
India-based SeeHow transforms sports equipment into sensors to do just that, and it does so without having to alter anything on the athlete’s body. Its sensors are baked into cricket balls and bat handles to track very specific types of data that batsmen and bowlers generate. And tracking the behavior of a bowled ball and where and how it lands on a bat all play a role in the story of cricket.
“Putting the sensor inside the ball or bat handle where the action is happening is when you can capture data fundamentally at a higher accuracy,” says Dev Chandan Behera, founder and CEO of SeeHow . “Most MEMS [micro-electro-mechanical systems] can measure up to 2,000 degrees per second, i.e about 300+ RPMs. International spinners like Shane Warne can spin the ball up to 3,000 RPMs. This is something we are able to capture.”
To obtain data, a trainer first assigns a bowler and/or a batsman in the accompanying Android app before a session. (Behera says an iOS app is due this year.) During play, each action is captured in near real time for each corresponding player.
For bowlers, the sensor tracks speed, spin, seam position or orientation, and length — where the ball lands on the pitch. For batsmen, the sensor tracks swing speed and angle, where it hits on the bat, what kind of deliveries they played, what their responses were to a particular delivery and the velocity of the ball off the bat.
This data is then streamed in real time and can be read by players and coaches alike on the app. The app retains a history of a player’s progress in order to make any necessary adjustments and to track improvements.
“In bat on ball sport or racquetball sport, you’re doing something in response to the pitcher or your opponent, and that’s something we’re able to capture into a single system,” Behera says. Because both the data from the batter and the bowler are streaming to a single system, he adds, the app is able to tell users what the reaction time is.
Behera grew up playing cricket with the intention of improving enough to ensure his rise through the ranks.
“Growing up we would use chalk, cones or a sheet of A4 paper as markers during play to assess how we bowled,” Behera says of his early years. “A coach would use a slate to mark the number of balls bowled and selection would be based on whether you had his attention in that particular window when he happened to look at you playing. You might just have a bad day and not get selected to the next level.”
After moving to Singapore, Behera continued competing in the sport, and says he was exposed to more tools and more methodical training approaches.
“We used to record videos through mobile phone cameras and compare them to videos on YouTube or show it to our seniors or coaches for tips,” he says. “However, the process was very ad hoc, and without any data and science to it, it was subjective. We never improved and made it as cricketers.”
His experience building robots, combined with his cricket playing, prompted him to consider using a ball as a way to glean data to help improve cricketers’ performances.
“It occurred to me that we could address this issue by bringing in a new perspective to the ball itself. The experience of building such complex hardware helped me gauge the challenges we needed to build a sports operating system that will enable sensors in the field of play to provide this holistic learning experience in cricket.”
Behera says SeeHow’s sensors are being used at 12 cricket academies in nine countries. First-class cricketer Abhishek Bhat is a fast bowler whose speed topped at 120km. He writes that after two weeks, he was able to push his pace into the mid 130s:
However, it wasn’t until SeeHow came into the picture that I was able to get a consistent measurement of my bowling speed, session after session and day after day. I cannot overstate the impact bowling with the smart ball has had on my bowling speed.
I had my first bowling session with the smart ball in early November and I was bowling in the mid-120s, barely getting above 130kmph. Then with some technical adjustments in a couple of weeks time, I was consistently bowling close to the 130 kmph mark. It was then that I realized that bowling fast is more than just about technique, it’s about the mindset.
SeeHow isn’t the only company trying to improve the way cricketers train.
A company called StanceBeam has developed a system that, among other things, provides session insights, the power generated from a swing, angles and directions of a swing and a 3D analysis of a batsman’s swing. It does so through a hardware extension that players attach to the ends of their bats and that relays data via an app.
Microsoft is also in the game of cricket analysis. The company partnered with star India cricketer Anil Kumble and his company Spektacom to enhance the reach of its sensor, which is designed to help better engage fans and broadcasters through the use of embedded sensors, artificial intelligence, video modeling and augmented reality. The company’s first offering is a smart sticker for bats that contains sensor tech designed to track batting behavior that is readable via an app.
As cricket starts to find an audience beyond the Commonwealth countries and continues to draw big dollars, look for tech to play a bigger role in attracting and maintaining audiences and players.
For SeeHow, cricket is just the beginning.
“Baseball is a very natural extension to cricket if you look at how the sport is played and the equipment,” Behera says. “And we have also done mixed martial arts with sensors in the gloves.”
The company has filed for five patents, one of which, Behera says, is around the construction of the ball, specifically in order to be able to hold the vibrations.
“We have mounted the sensor in the sports equipment at the core and introduced a protective material to cushion the sensor from impact and vibration,” he says. “The patent captures the construction of the ball that mounts the sensor and introduces the protective material in a novel manner to be able to capture the motion data at the core.”
As it scales, SeeHow will look to license the hardware to equipment manufacturers and become a platform company. SeeHow is funded through a friends and family round and is currently in search of seed funding.
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At the Adobe Summit this week in Las Vegas, the company introduced what could be the ultimate customer experience construct, a customer experience system of record that pulls in information, not just from Adobe tools, but wherever it lives. In many ways it marked a new period in the notion of customer experience management, putting it front and center of the marketing strategy.
Adobe was not alone, of course. Salesforce, with its three-headed monster, the sales, marketing and service clouds, was also thinking of a similar idea. In fact, they spent $6.5 billion dollars last week to buy MuleSoft to act as a data integration layer to access customer information from across the enterprise software stack, whether on prem, in the cloud, or inside or outside of Salesforce. And they announced the Salesforce Integration Cloud this week to make use of their newest company.
As data collection takes center stage, we actually could be on the edge of yet another data revolution, one that could be more profound than even the web and mobile were before it. That is…the Internet of Things.
There are three main pieces to that IoT revolution at the moment from a consumer perspective. First of all, there is the smart speaker like the Amazon Echo or Google Home. These provide a way for humans to interact verbally with machines, a notion that is only now possible through the marriage of all this data, sheer (and cheap) compute power and the AI algorithms that fuel all of it.

Next, we have the idea of a connected car, one separate from the self-driving car. Much like the smart speaker, humans can interact with the car, to find directions and recommendations and that leaves a data trail in its wake. Finally we, have sensors like iBeacons sitting in stores, providing retailers with a world of information about a customer’s journey through the store — what they like or don’t like, what they pick up, what they try on and so forth.
There are very likely a host of other categories too, and all of this information is data that needs to be processed and understood just like any other signals coming from customers, but it also has unique characteristics around the volume and velocity of this data — it is truly big data with all of the issues inherent in processing that amount of data.
The means it needs to be ingested, digested and incorporated into that central customer record-keeping system to drive the content and experiences you need to create to keep your customers happy — or so the marketing software companies tell us, at least. (We also need to consider the privacy implications of such a record, but that is the subject for another article.)
Regardless of the vendor, all of this is about understanding the customer better to provide a central data gathering system with the hope of giving people exactly what they want. We are no longer a generic mass of consumers. We are instead individuals with different needs, desires and requirements, and the best way to please us they say, is to understand us so well, that the brand can deliver the perfect experience at exactly the right moment.
Photo: Ron Miller
That involves listening to the digital signals we give off without even thinking about it. We carry mobile, connected computers in our pockets and they send out a variety of information about our whereabouts and what we are doing. Social media acts as a broadcast system that brands can tap into to better understand us (or so the story goes).
Part of what Adobe, Salesforce and others can deliver is a way to gather that information, pull it together into his uber record keeping system and apply a level of machine and learning and intelligence to help further the brand’s ultimate goals of serving a customer of one and delivering an efficient (and perhaps even pleasurable) experience.
At an Adobe Summit session this week on IoT (which I moderated), the audience was polled a couple of times. In one show of hands, they were asked how many owned a smart speaker and about three quarters indicated they owned at least one, but when asked how many were developing applications for these same devices only a handful of hands went up. This was in a room full of marketers, mind you.
Photo: Ron Miller
That suggests that there is a disconnect between usage and tools to take advantage of them. The same could be said for the other IoT data sources, the car and sensor tech, or any other connected consumer device. Just as we created a set of tools to capture and understand the data coming from mobile apps and the web, we need to create the same thing for all of these IoT sources.
That means coming up with creative ways to take advantage of another interaction (and data collection) point. This is an entirely new frontier with all of the opportunity involved in that, and that suggests startups and established companies alike need to be thinking about solutions to help companies do just that.
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With people more likely to be locking eyes with their smartphone screens these days when they’re hanging around in public, the London-based designers behind this feathery wearable are worried that the chances for exchanging flirtatious glances with passing strangers is being engineered out of daily life. Or, let’s be honest, translated into monetizable swipes on Tinder et al. Read More
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What wine makers are going after with applied technology and science is a more profitable piece of an already sizable market. Consumers spent $38 billion on U.S.-made wines alone in 2015 according to the annual Wine Industry Metrics report by Wines & Vines Analytics. Using tech and science to gain every possible advantage can help producers keep their costs and prices down, their… Read More
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Construction sites can be dangerous places. And while recent advancements in safety technology have done a lot to help protect workers, there hasn’t been as much focus on protecting the site itself from things like fire, water and mold damage. Any of these three risks can cost construction companies (or insurance companies) millions of dollars in damages, and are the biggest causes… Read More
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A guy like Ralph Clark has a tough job: if all goes according to his business plan he’ll put himself out of business. He is the CEO of ShotSpotter, a surveillance system for cities that triangulates gunfire in 90 cities. I asked him if he’d ever have to shut down. “You know, sadly, in the US that won’t be the case,” he said. The company is coming under fire for… Read More
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Over the past few years, the Internet of Things (IoT) has been the white-hot center of a flurry of activity. The IoT may well be The Next Big Thing, but maybe the attention around sensors is misplaced… What if we didn’t even need embedded sensors to allow things to gather data about their surrounding environment? What if material could be a sensor in and of itself? Read More
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The Department of Motor Vehicles is one of the most notorious ways to waste your life away. Density could help ease this pain. Today, Density is launching its people-counting sensor for measuring how many people are inside a space at any given time. The company is also announcing a $4 million Series A round led by Upfront Ventures Managing Partner Mark Suster with participation from Ludlow… Read More
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