Si-Ware Systems (SWS) has announced its NeoSpectra Micro, a chip-scale, near infra-red (NIR) spectral sensor that analyses materials onsite without the need to send samples to a lab.
Si-Ware Systems (SWS) has introduced the first integrated micro-spectrometer for broad industrial and consumer use. The product, NeoSpectra Micro, is a small, chip-scale, near infra-red (NIR) spectral sensor that quickly analyses materials onsite without the need to send samples to a lab, enabling dramatic time savings and accurate, actionable data in the field or on the plant floor.
The device is small enough and thin enough to be incorporated into a smart phone case or designed into an existing mobile product. Product applications include scanning for food safety, and evaluating soil health, oil and gas composition, and pharmaceutical purity. Delivering the same functionality as conventional “bench-top” spectrometers in labs, the integrated NeoSpectra Micro brings to end-users the ability to immediately quantify composition, detect impurities and ascertain quality, speeding analysis of samples from days to minutes without the need for offsite lab verification.
NeoSpectra Micro builds on the success of the popular and cost-effective NeoSpectra spectral sensing module used by system integrators for development of industry-specific hand-held and inline spectrometer applications. The device is currently in use in agriculture, petrochemical, and healthcare industries.
A Real Spectrometer — at Component Size
NeoSpectra Micro for the first time brings high performance spectroscopy to the size and cost of a sensor component. At 18x18mm and only 4mm thick in a self-contained package, it can now be easily incorporated into consumer electronic products. Until now, spectroscopy and material analysis have been notoriously absent from consumer applications due to size, form factor and cost concerns.
“Now with NeoSpectra Micro, high performance material analysis can be a reality in the consumer electronics world,” said Scott Smyser, executive vice president at Si-Ware Systems. “In the same way that inertial sensors, accelerometers and gyros became small enough and low-cost enough for consumer electronic products — enabling a host of applications for motion sensing — NeoSpectra Micro will open up new and unprecedented applications for material analysis.”
Large Unmet Need for Material Analysis
According to Paris-based market research firm Tematys, market size for compact spectrometers is estimated at $655 million for 2016 and will grow to almost $1B in 2021. The research firm forecasts that consumer applications will see have some of the largest growth at a 54% Compounded Annual Growth Rate (CAGR) from 2015 to 2021.
NeoSpectra Micro can be an effective solution for original equipment manufacturers (OEMs) targeting the consumer markets, since the integrated device is very similar to components in terms of size and cost. The tiny package includes all the system components: the MEMS interferometer, the photodetector, the light source, and also the electronics chips that perform system control and data processing. This facilitates integration, reduces development risks for system developers, and enables faster testing in different application environments.
Versatility is Key
NeoSpectra Micro not only offers an unprecedented wide spectral range that makes it suitable for many industries, but it is also the only chip-sized solution that operates at higher NIR wave length ranges (higher than 1,150 nm up to 2,500 nm). This extended range enables measurement of more materials with higher accuracy. In addition, it allows measuring samples in different form factors including particles, flat surfaces and even ground samples with no need for sample preparation.
“There is a pressing unmet need for rapid material analysis and actionable data in a broad range of applications, from consumer and wearables to industrial in-line and on-site quality control and scientific applications,” said Bassam Saadany, Optical MEMS business unit manager at SWS. “Developing a tiny spectrometer at a sensor price point, for out-of-the-box use across many sectors, requires a wide spectral range at the higher end of Near InfraRed. This places NeoSpectra above and beyond any other offerings on the market.”
NeoSpectra Micro Enabling Smartphones, Wearables and IoT
Having a low-cost, miniaturized NIR spectral sensor opens the door for a new wave of usage models for NIR spectroscopy. To showcase the potential of NeoSpectra Micro at Photonics West at the end of January, SWS has designed it into an iPhone case and developed a demonstration iPhone app. The demo app will scan and measure food and coffee to accurately detect and quantify such elements as gluten and caffeine levels. The iPhone case was developed by XPNDBLS, and the spectral analysis algorithms were developed by GreenTropism.
“We are excited to add NeoSpectra Micro to our product portfolio. We believe it will change the way we perceive spectroscopy, taking it out of the lab environment and bringing it into consumer hands.” said Smyser. “Unlike other spectral sensor solutions out there, NeoSpectra is the first chip-scale spectral sensor with the high performance and reliability known for FT-IR spectrometers, the de-facto standard of high precision spectroscopy.”
In addition to smartphone-based spectrometers, NeoSpectra Micro can also be designed in to wearable devices, where NIR spectroscopy can non-invasively measure biochemistries in the body including glucose and ethanol/alcohol. NeoSpectra Micro’s size and cost now enables NIR spectroscopy for the next wave of sensing for the human body, or even as smart sensors in Internet of Things (IoT) applications.
How NeoSpectra Works
NeoSpectra products are a built around low-cost, miniaturized, Fourier Transform InfraRed (FT-IR) spectral sensors that are based on MEMS technology. The sensors determine the spectral content of the input light, and generates spectrum data corresponding to the measured light. Today, NeoSpectra sensors operate in the NIR spectral range between 1,100nm and 2,500nm, enabling material composition analysis and identification in a wide range of application areas. NeoSpectra technology allows for operation in the mid infra-red (MIR) and future-generation products will offer sensing in the MIR.
Smart home arrives in SA
The smart home is no longer a distant vision confined to advanced economies, writes ARTHUR GOLDSTUCK.
The smart home is a wonderful vision for controlling every aspect of one’s living environment via remote control, apps and sensors. But, because it is both complex and expensive, there has been little appetite for it in South Africa.
The two main routes for smart home installation are both fraught with peril – financial and technical.
The first is to call on a specialist installation company. Surprisingly, there are many in South Africa. Google “smart home” +”South Africa”, and thousands of results appear. The problem is that, because the industry is so new, few have built up solid track records and reputations. Costs vary wildly, few standards exist, and the cost of after-sales service will turn out to be more important than the upfront price.
The second route is to assemble the components of a smart home, and attempt self-installation. For the non-technical, this is often a non-starter. Not only does one need a fairly good knowledge of Wi-Fi configuration, but also a broad understanding of the Internet of Things (IoT) – the ability for devices to sense their environment, connect to each other, and share information.
The good news, though, is that it is getting easier and more cost effective all the time.
My first efforts in this direction started a few years ago with finding smart plugs on Amazon.com. These are power adaptors that turn regular sockets into “smart sockets” by adding Wi-Fi and an on-off switch, among other. A smart lightbulb was sourced from Gearbest in China. At the time, these were the cheapest and most basic elements for a starter smart home environment.
Via a smartphone app, the light could be switched on from the other side of the world. It sounds trivial and silly, but on such basic functions the future is slowly built.
Fast forward a year or two, and these components are available from hundreds of outlets, they have plummeted in cost, and the range of options is bewildering. That, of course, makes the quest even more bewildering. Who can be trusted for quality, fulfilment and after-sales support? Which products will be obsolete in the next year or two as technology advances even more rapidly?
These are some of the challenges that a leading South African technology distributor, Syntech, decided to address in adding smart home products to its portfolio. It selected LifeSmart, a global brand with proven expertise in both IoT and smart home products.
Equally significantly, LifeSmart combines IoT with artificial intelligence and machine learning, meaning that the devices “learn” the best ways of connecting, sharing and integrating new elements. Because they all fall under the same brand, they are designed to integrate with the LifeSmart app, which is available for Android and iOS phones, as well as Android TV.
Click here to read about how LifeSmart makes installing smart home devices easier.
Matrics must prepare for AI
By Vian Chinner, CEO and founder of Xineoh.
Many in the matric class of 2018 are currently weighing up their options for the future. With the country’s high unemployment rate casting a shadow on their opportunities, these future jobseekers have been encouraged to look into which skills are required by the market, tailoring their occupational training to align with demand and thereby improving their chances of finding a job, writes Vian Chinner – a South African innovator, data scientist and CEO of the machine learning company specialising in consumer behaviour prediction, Xineoh.
With rapid innovation and development in the field of artificial intelligence (AI), all careers – including high-demand professions like engineers, teachers and electricians – will look significantly different in the years to come.
Notably, the third wave of internet connectivity, whereby our physical world begins to merge with that of the internet, is upon us. This is evident in how widespread AI is being implemented across industries as well as in our homes with the use of automation solutions and bots like Siri, Google Assistant, Alexa and Microsoft’s Cortana. So much data is collected from the physical world every day and AI makes sense of it all.
Not only do new industries related to technology like AI open new career paths, such as those specialising in data science, but it will also modify those which already exist.
So, what should matriculants be considering when deciding what route to take?
For highly academic individuals, who are exceptionally strong in mathematics, data science is definitely the way to go. There is, and will continue to be, massive demand internationally as well as locally, with Element-AI noting that there are only between 0 and 100 data scientists in South Africa, with the true number being closer to 0.
In terms of getting a foot in the door to become a successful data scientist, practical experience, working with an AI-focused business, is essential. Students should consider getting an internship while they are studying or going straight into an internship, learning on the job and taking specialist online courses from institutions like Stanford University and MIT as they go.
This career path is, however, limited to the highly academic and mathematically gifted, but the technology is inevitably going to overlap with all other professions and so, those who are looking to begin their careers should take note of which skills will be in demand in future, versus which will be made redundant by AI.
In the next few years, technicians who are able to install and maintain new technology will be highly sought after. On the other hand, many entry level jobs will likely be taken care of by AI – from the slicing and dicing currently done by assistant chefs, to the laying of bricks by labourers in the building sector.
As a rule, students should be looking at the skills required for the job one step up from an entry level position and working towards developing these. Those training to be journalists, for instance, should work towards the skill level of an editor and a bookkeeping trainee, the role of financial consultant.
This also means that new workforce entrants should be prepared to walk into a more demanding role, with more responsibility, than perhaps previously anticipated and that the country’s education and training system should adapt to the shift in required skills.
The matric classes of 2018 have completed their schooling in the information age and we should be equipping them, and future generations, for the future market – AI is central to this.