CrowdOptic: Using triangulation to track what you are seeing

New technology uses Triangulation to help calculate media impressions, encourage citizen journalism, and monitor homeland security. Photo: Times Square

NEW YORK, July 22, 2013 – CrowdOptic is a game-changing new mobile startup, with technology that employs the ancient Greek mathematical discovery of Triangulation, a measurement technique that “[determines] the distances and relative positions of points [that] spread over a territory or region,” as defined by the Oxford Dictionary.

Media Impressions: an intrinsically incalculable, impenetrable, controversial necessity. Yet, its very existence is crucial to the Senior Executives, pivotal to the advertising-PR world, and decisive on business strategy. Media Impressions are the only metric known to mankind to steer toward higher profitability, and win the esteem of their beloved clients.

Media Impressions justify. Think: ROI.

Simply put, CrowdOptic has the ability to help advertisers and PR companies to identify where people are pointing their smartphone cameras for most effective media impressions.

Consider Times Square: Arguably the world’s most overwhelmingly branded, stressfully significant, advertising blackhole, commercialized cluster of light. With the tens of thousands of lightbulbs, hues, colors and shine, you can only hope your client was noticed for a few milliseconds, before getting distracted and gazing at Beyoncé’s can of Pepsi, or sashaying up those spectacularly lit red stairs—only to get distracted again.

So, CrowdOptic does just this. It mathematically calculates Media Impressions.

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The San Francisco-based company’s co-founder and CEO Jon Fisher explains how his location-based technology can not only identify the “hottest crowd activity,” but also locate where the smartphone cameras are, and where they are pointing: “The analytics work by understanding when and where the phones are aimed in an event—often when they’re creating content, like taking pictures and videos,” describes Fisher in an email. “Enterprises can get a heat map of when and where the phones are aimed in real time.”

In marketing terms, the startup’s C-suite-pleaser can help brands calculate campaign effectiveness, based on where consumers are pointing, quite literally, their smartphone cameras.

The same company also developed the augmented-reality iPhone app Friend Spotter. While panoramming the other side of the football stadium and discovering your friend is an awesome idea, it’s not too clear how the app can help with branding. But you never know these days.

CrowdOptic’s revolutionary QResque technology can also let fans aim their phones at performers and athletes during live events, and see “up-to-the-moment highlights, messages to the fanbase, and real-time player stats.”

The company’s development can also pinpoint the location of breaking news, by analyzing where people whip out their phones, and shoot happenings. This has a potential to leverage citizen journalism. (See #chevronfire example.)

Take the Boston Marathon Bombings.

With tools like these, not only could this technology have helped the police and FBI analyze raw footage from security cameras near the finish line, but also analyze the photos and videos taken by marathon attendees that day, and analyze the photos and videos uploaded to social media the following days: all under three seconds.

“We can take a blizzard of phone content,” said Fisher, “and drill down to a single object of the content to solve problems like the Boston bombing.”

If a small start-up can do all this, it is unfathomable what the 3Ms, GMs and Googles of the world can do for society.

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Abhishek Seth

Abhishek Seth is an expert in public and business relationships. In addition to writing for The Washington Times Communities, Seth is also a writer for the philanthropic publication Look to the Stars. If he is not consulting clients on CSR/corporate citizenship, the former White House intern is interviewing international thought-leaders on their humanitarian work.

Contact Abhishek Seth


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