The Rise of the Selfie Drone

The Rise of the Selfie Drone

At CES 2017 you couldn’t get away from selfie drones. Everywhere you looked there was your very own aerial camera that quite literally brought narcissism to new heights.

It’s hardly been six months, but this space is moving so fast there has already been some shake-ups. One of the most anticipated selfie drones has crashed (Lily drone) and just two weeks ago DJI, the biggest player in the world of drones, plopped down its considerable presence on the overcrowded couch of selfie drones. And let’s not forget that it was the selfie drone that finally got the attention of the world’s largest consumer electronics brand—now you can buy one in any Apple store.

What is it about the selfie drone anyway? Are they the latest tech fad that will reel in money for a year or two and then fade away? Maybe, but I think there’s a lot more to selfie drones than dollar signs and social media buzz.

Selfie drones are important because they serve as the new testing ground for technologies that are vital to the future of drones like miniaturization, autonomous flight, machine learning (gesture commands), and interfacing with the life of an average person (social media). A selfie drone is the fastest way to get new drone technology into the hands of average people and see the interaction of this technology with normal life.

Who Said Smaller Isn’t Better

As with any technology, miniaturization is important. Over time you can do more with the same amount of space. Drones are no different. The new DJI Spark weighs 70% less and is only 1/3 of the size of the Phantom 2 drone I keep on my shelf for posterity’s sake. Even with these reductions, the Spark manages to offer a 12 megapixel camera, advanced GPS/GLONASS satellite positioning, a 3D sensing system, and computer vision—none of which the Phantom 2 has.

The DJI Spark has a lot of technology crammed into its small frame. (Source : DJI)

Zerotech’s Dobby is even lighter and, in fact, small enough to fit into the breast pocket of a button-up shirt. While its specs are not as impressive as the Spark’s, the story of its “insides” is really a story about how miniaturization is key to unlocking the true potential of drones.

To make the Dobby, Zerotech partnered with Qualcomm. The key to miniaturizing the drone was making an integrated chip that could fit into a mini motherboard and be able to handle CPU, imaging, communications, GPS, artificial intelligence, and remote control functions. Zerotech had not worked with integrated chips before so there were some issues getting their drone tech to operate correctly. It took months of engineers banging around problems, but eventually the Dobby came into being.

Dobby is arguably not the best drone on the market, but both Zerotech and Qualcomm view it as a transitional product on the path to the drones of tomorrow. They have proven they can integrate and reduce size which will make drones a powerful computing platform for the sky. In five years, drones the size of the Dobby and Spark will be more powerful than larger drones today. Sensors will be smaller, processors will be smaller, power sources will be smaller—all because of selfie drones.

Autonomy at the Touch of a Button

Selfie drones didn’t create the idea of autonomous drone flight and they are not the main factor pushing this technology forward. But they are playing their part and are the way most people will become familiar with the reality of autonomous drone flight.

Their contribution can be traced back to 3DR’s Iris+ drone which, when launched in 2014, was the first widely available commercial drone with a “follow me” function. Every selfie drone today can do this in addition to course lock, go to a point of interest, active tracking, as well as preset movements for shots. With the push of a button selfie drones can become autonomous by using a combination of computer vision and software.

This technology is not unique to selfie drones, but just think how many millions of people around the world are going to be introduced to autonomous drone flight just because they want the ultimate selfie.

Signing with Robots

Another selling feature of most selfie drones is the ability to be controlled by gestures. With a wave of your hand you can command a drone to do everything from fly away from you to take a picture. Like with autonomous flight features, the ability to command with gestures is pretty limited and sometimes buggy, but that’s not why I am mentioning it.

 

The fact that drone manufacturers were able to cram machine learning and intelligence features into something so small is impressive. But more than anything else, it’s a way to introduce consumers to the concept of using gestures to command drones. Researchers around the world are working on drones that can autonomously interact with people via facial and hand gestures. The end goal is for these drones to be used as a kind of personal assistant at retail locations, on tours, and even in the workplace. Selfie drones are the first large scale testing ground for using machine learning and gestures. The lessons being learned will be vital for further drone development.

Let’s Take a Dronie

Regardless of what the future holds, selfie drones are making their mark today because they are easy to integrate with the great passion of our time, social media. The marketing of every selfie drone shows happy people documenting moments for their friends with the help of a wonderful new tool. If you want more confirmation of the social power of drones just remember that in late May Snap, the parent company of Snapchat, bought Los Angeles-based drone maker Ctrl Me.

For better or worse selfie drones are here to stay. Just don’t forget that these drones have a lot more going for them than narcissism. They are a stepping stone to the drones of the future.

Joe Christian is Director of Content for Up Sonder, a network of drone pilots for hire and the first on-demand drone booking platform powered by UberRUSH and Postmates. Up Sonder gives business and the public access to the drone industry while providing a way for drone pilots and owners to earn extra money.

17,313 thoughts on “The Rise of the Selfie Drone

  1. 2024總統大選民調
    民意調查是什麼?民調什麼意思?
    民意調查又稱為輿論調查或民意測驗,簡稱民調。一般而言,民調是一種為了解公眾對某些政治、社會問題與政策的意見和態度,由專業民調公司或媒體進行的調查方法。

    目的在於通過網路、電話、或書面等媒介,對大量樣本的問卷調查抽樣,利用統計學的抽樣理論來推斷較為客觀,且能較為精確地推論社會輿論或民意動向的一種方法。
    以下是民意調查的一些基本特點和重要性:

    抽樣:由於不可能向每一個人詢問意見,所以調查者會選擇一個代表性的樣本進行調查。這樣本的大小和抽樣方法都會影響調查的準確性和可靠性。
    問卷設計:為了確保獲得可靠的結果,問卷必須經過精心設計,問題要清晰、不帶偏見,且易於理解。
    數據分析:收集到的數據將被分析以得出結論。這可能包括計算百分比、平均值、標準差等,以及更複雜的統計分析。
    多種用途:民意調查可以用於各種目的,包括政策制定、選舉預測、市場研究、社會科學研究等。
    限制:雖然民意調查是一個有價值的工具,但它也有其限制。例如,樣本可能不完全代表目標人群,或者問卷的設計可能導致偏見。
    影響決策:民意調查的結果常常被政府、企業和其他組織用來影響其決策。
    透明度和誠實:為了維護調查的可信度,調查組織應該提供其調查方法、樣本大小、抽樣方法和可能的誤差範圍等詳細資訊。
    民調是怎麼調查的?
    民意調查(輿論調查)的意義是指為瞭解大多數民眾的看法、意見、利益與需求,以科學、系統與公正的資料,蒐集可以代表全部群眾(母體)的部分群眾(抽樣),設計問卷題目後,以人工或電腦詢問部分民眾對特定議題的看法與評價,利用抽樣出來部分民眾的意見與看法,來推論目前全部民眾的意見與看法,藉以衡量社會與政治的狀態。

    以下是進行民調調查的基本步驟:

    定義目標和目的:首先,調查者需要明確調查的目的。是要了解公眾對某個政策的看法?還是要評估某個政治候選人的支持率?
    設計問卷:根據調查目的,研究者會設計一份問卷。問卷應該包含清晰、不帶偏見的問題,並避免導向性的語言。
    選擇樣本:因為通常不可能調查所有人,所以會選擇一部分人作為代表。這部分人被稱為“樣本”。最理想的情況是使用隨機抽樣,以確保每個人都有被選中的機會。
    收集數據:有多種方法可以收集數據,如面對面訪問、電話訪問、郵件調查或在線調查。
    數據分析:一旦數據被收集,研究者會使用統計工具和技術進行分析,得出結論或洞見。
    報告結果:分析完數據後,研究者會編寫報告或發布結果。報告通常會提供調查方法、樣本大小、誤差範圍和主要發現。
    解釋誤差範圍:多數民調報告都會提供誤差範圍,例如“±3%”。這表示實際的結果有可能在報告結果的3%範圍內上下浮動。
    民調調查的質量和可信度很大程度上取決於其設計和實施的方法。若是由專業和無偏見的組織進行,且使用科學的方法,那麼民調結果往往較為可靠。但即使是最高質量的民調也會有一定的誤差,因此解讀時應保持批判性思考。

    為什麼要做民調?
    民調提供了一種系統性的方式來了解大眾的意見、態度和信念。進行民調的原因多種多樣,以下是一些主要的動機:

    政策制定和評估:政府和政策制定者進行民調,以了解公眾對某一議題或政策的看法。這有助於制定或調整政策,以反映大眾的需求和意見。
    選舉和政治活動:政黨和候選人通常使用民調來評估自己在選舉中的地位,了解哪些議題對選民最重要,以及如何調整策略以吸引更多支持。
    市場研究:企業和組織進行民調以了解消費者對產品、服務或品牌的態度,從而制定或調整市場策略。
    社會科學研究:學者和研究者使用民調來了解人們的社會、文化和心理特征,以及其與行為的關係。
    公眾與媒體的期望:民調提供了一種方式,使公眾、政府和企業得以了解社會的整體趨勢和態度。媒體也經常報導民調結果,提供公眾對當前議題的見解。
    提供反饋和評估:無論是企業還是政府,都可以透過民調了解其表現、服務或政策的效果,並根據反饋進行改進。
    預測和趨勢分析:民調可以幫助預測某些趨勢或行為的未來發展,如選舉結果、市場需求等。
    教育和提高公眾意識:通過進行和公布民調,可以促使公眾對某一議題或問題有更深入的了解和討論。

    民調可信嗎?
    民意調查的結果數據隨處可見,尤其是政治性民調結果幾乎可說是天天在新聞上放送,對總統的滿意度下降了多少百分比,然而大家又信多少?

    在景美市場的訪問中,我們了解到民眾對民調有一些普遍的觀點。大多數受訪者表示,他們對民調的可信度存有疑慮,主要原因是他們擔心政府可能會在調查中進行操控,以符合特定政治目標。

    受訪者還提到,民意調查的結果通常不會對他們的投票意願產生影響。換句話說,他們的選擇通常受到更多因素的影響,例如候選人的政策立場和政府做事的認真與否,而不是單純依賴民調結果。

    從訪問中我們可以得出的結論是,大多數民眾對民調持謹慎態度,並認為它們對他們的投票決策影響有限。

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