How does DJI Spark gesture control work?

The first time you use Spark, you need to activate Spark, and you can activate Spark in one of two ways:

1. Connect the mobile or bridge device to the aircraft, and use the DJI GO 4 prompts to complete the activation process.

2. You can click the icon in the upper right corner of the DJI GO 4 main screen, select Scan***, point the camera of your mobile device next to the SSID of the battery compartment, and then follow the instructions on DJI GO 4 to complete the activation process.

Spark supports gesture control, which allows the aircraft to take off and land in the palm of your hand without the need for a mobile device or remote controller. The details are shown in the figure below.

Looking at the front of the DJI Spark drone, a flexible platform camera is displayed in front of us, this camera can clearly capture everything in the field of vision, which is very powerful.

Turn the DJI Spark drone to the back, and you can see that the charging hole can be powered by the power button and indicator light, and we can charge it.

Moving to the multi-function handle, let's give a close-up first, it can be seen that this handle supports the mobile phone slot, and you can put the mobile phone on the handle to achieve the "fit" effect.

Let's take a look at the front photo of the multi-function handle of Hashino, we can see that the handle is covered with various buttons that indicate the movement and operation of the drone, including video, start and stop, take pictures, landing, front and back, left and right, up and down, everything.

Da Min drafted the wing guard of the Jiang Xiao spark drone, which needs to be purchased by friends, but this Dongdong is very good, with it, novice friends are not easy to damage the wing due to poor control and hitting the wall.

DJI Spark drone supports mobile phone interconnection, you can use the mobile phone **DJI APP, and then follow the default steps to connect the drone. Isn't that cool, let's practice it together.

One. Basic concepts.

Spark is a fast, general-purpose computing engine designed for large-scale data processing. Spark is a Hadoop Mapreduce-like general-purpose parallel framework open sourced by UC Berkeley Amp Lab (UC Berkeley's AMP Lab), Spark, which has the advantages of Hadoop MapReduce; However, unlike MapReduce, the intermediate output results of the job can be stored in memory, so there is no need to read and write HDFS, so Spark is better suitable for iterative MapReduce algorithms such as data mining and machine learning.

It's an open-source clustered computing environment similar to Hadoop, but there are some useful differences that make Spark better for certain workloads, in other words, Spark enables in-memory distributed datasets, which optimizes iterative workloads in addition to providing interactive queries.

It's implemented in the Scala language, which uses Scala as its application framework. Unlike Hadoop, Spark and Scala are tightly integrated, with Scala manipulating distributed datasets as easily as local collection objects.

Two. The starting point for learning big data.

There are three main features of Spark:

First, the high-level API strips the focus on the cluster itself, allowing Spark application developers to focus on the computation itself that the application does.

Second, Spark is fast and supports interactive calculations and complex algorithms.

Finally, Spark is a general-purpose engine that can be used to perform a variety of operations, including SQL queries, text processing, machine learning, etc., whereas before Spark came along, we generally had to learn a variety of engines to handle these needs separately.