Home

Smile, Shoppers! Big Data Analytics Software Watches You

Comments | Jeff Bertolucci, InformationWeek | January 07, 2013 10:14 AM


Big Data's Surprising Uses: From Lady Gaga To CIA
Big Data's Surprising Uses: From Lady Gaga To CIA
(click image for larger view and for slideshow)

Admittedly, what startup Immersive Labs is about to launch sounds more than a little creepy: Face detection software that studies your face at a kiosk or brick-and-mortar store and immediately determines your age, gender, attention span and maybe even your emotions. It enables marketers to run real-time analytics on this demographic data, and even quickly change a kiosk or advertising display's content to match the needs (or wants) of its customers.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Called "Cara," this face detection platform is Immersive Labs' first product, one scheduled to ship around March. Founded in 2011, the New York City-based Immersive is currently testing Cara, an "engagement platform for audience analytics," with about 25 customers, the company's chief operating officer Steve Lubin told InformationWeek in a phone interview.

The Cara software is designed to work with any off-the-shelf webcam and PC, and it works with a variety of operating systems, including Android, Linux and Windows.

"It will work with any kind of basic hardware, nothing special is required in order to operate it. We provide the software and the analytic tools," Lubin said.

[ Apps may be the best solution to the data scientist shortage. See Big Data Apps: The Next Big Thing? ]

Cara's real-time software detects faces on the fly, and collects the kind of customer data that's usually hard to obtain in brick-and-mortar stores, such as foot traffic and demographics. It also can monitor store entrances and endcaps (merchandise displays at the end of aisles) to determine the number of people who come to a location, how long they linger and what draws their interest.

Naturally, a face-detection system that detects age, gender and even a shopper's attention span is bound to raise a few privacy eyebrows. But customers have nothing to fear, Immersive Labs claims.

"We are face detection, not face recognition. The only information we're collecting is gender, age, distance from camera, attention time, what your emotions might be, glances -- things like that," said Lubin. "We don't keep any video. We don't store any video. We're not sending any video. The only thing that we're sending back to the servers is demographic information."

In fact, the company is putting a lot of pre-launch effort into educating people on how its face-detection system works. "We're very much trying to stay on the right side of privacy. That's the core goal of the company," Lubin said.

Cara is a cloud-based system. Retailers use a Web browser to log into their accounts to see their analytics. "There are also APIs, where you can take the data yourself and integrate it into your own data products and services," said Lubin.

Cara also ties into camera-equipped advertising and content services, including in-store kiosks, digital signage, endcaps and mobile devices.

"Besides providing real-time data, we're also able to provide triggers that (allow) you to switch out and change content in real time," said Lubin. "If you have a tourism kiosk in a city, and the people looking at it are young adult males, you might want to provide them certain content or advertisements. We have tools so that you can switch out those advertisements in real time with your content management system."

Immersive Labs is one of several companies that offer big data analytics systems for brick-and-mortar retailers.

Silicon Valley startup RetailNext, for instance, uses an on-premises Linux server to collect and analyze data from a variety of in-store devices, including video cameras and point-of-sale systems.

And the LightHaus Visual Customer Intelligence (VCI) system analyzes video from in-store cameras to measure customer traffic and engagement. The system is designed to help retailers boost their sales conversion rate -- the percentage of store visitors who buy goods or services.

Predictive analysis is getting faster, more accurate and more accessible. Combined with big data, it's driving a new age of experiments. Also in the new, all-digital Advanced Analytics issue of InformationWeek: Are project management offices a waste of money? (Free registration required.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

COMMENTS

Tune In to BYTE
Facebook Twitter LinkedIn Newsletter RSS
Whitepapers
whitepaper
In this paper you will learn the five trends shaping the future of enterprise mobility. Learn how the rise of social media as a business application, the lurring between work and home, the emergence of new mobile devices, the demand for tech savvy employees and changing expectations of corporate IT will fundamentally change the workplace.
whitepaper
In a survey of more than 1,700 information workers (iWorkers) in North America, notebooks, desktops, and smartphones were found to be “must-have” devices, while tablets, slates, and netbooks were relegated to “nice-to-have” status, according to a commissioned study conducted by Forrester Consulting on behalf of Dell and Intel.
Sponsored by: Dell
Upcoming Events