Oct 30, 2020 | Updated: 09:48 PM EDT

Moto X (2017) Accidentally Unveiled Through The New Rap Video, Time To Spot It!

Apr 07, 2017 11:04 AM EDT


Moto X (2017) was one of the best Android devices when smartphones weren't as popular. As latest rumors suggest, Lenovo is still planning a Moto X 2017 version. However, it is believed that the device won't be as strong in its hardware features like its earlier models. Recently, the users got a close look at the leaked image of the device. The image featured the device in gold.

Interestingly, the buyers might get a glimpse of the Moto X (2017) on the rap video the company released. As per The Verge, the video released last week and is a one minute video showing the corporate history of the tech giant. It was released to mark the anniversary of the first phone call ever made from a mobile call by Motorola engineers in 1973.

Motorola had put up a fun video that showed everything from Motorola DynaTAC to the recent Moto Z along with several Moto Mods. Now, right at the 2-second mark, viewers get a peek into a blue device that has not been released. The design of the device appears similar to leaked images of Moto X (2017), that has been circling throughout the net.

As per reports, tech experts feel Motorola might have accidentally released the image of the device. The large rear facing camera draws attention, however, the Moto X (2017) looks similar to other devices such as Moto G5 Plus and Moto G5, AndroidHeadlines reported. But the lines that travel across the top and bottom of the device are straighter than that in Moto G5.

Viewers also get a closer look at the front of the Moto X (2017) whereby they can see a front-facing flash for the front camera along with fingerprint sensor and a home button placed at the bottom. It is similar to what appears in Moto G5 and Moto G5 Plus. Till now, neither Lenovo nor Motorola has announced any date for the arrival of Moto X (2017) or Moto E devices. But buyers can assume these are in their testing period and might release soon.

Real Time Analytics