Micromax Canvas Hue 2 With HD Amoled Screen, 5-Megapixel Front Camera Now Available Online! Specs, Features And Price Revealed

Tags
Micromax Canvas Series

Micromax introduced a new smartphone to its Canvas series without any announcement about the launch, however the phone is available online for Rs. 11,736 (about $280).

Micromax recently listed Canvas Fire 3 A096 on its official site, adding another device to its range of budget smartphones. The Canvas Fire 3 is available online via a third party retailer - and now India's popular handset maker is geared up to launch a new Canvas-series smartphone dubbed the Canvas Hue 2.

According to a retailer based in Mumbai, India, Micromax has launched the Canvas Hue 2 in physical retail stores. According to the retailer, The Canvas Hue 2 has been priced at (MOP) Rs. 12,499 (about $195), however according to reports from NDTV Gadgets, the MRP of the handset is Rs. 17,999 (about $280).

The Canvas Hue 2 (A316) is a Dual-SIM phone that runs the slightly old Android 4.4.2 KitKat out-of-the-box. Hue 2 boasts a 5-inch HD (720x1280 pixels) Amoled display. Powered by a 1.7GHz quad-core MediaTek (MT6582) processor, the handset comes with 2GB of RAM. If reports from the retailer are anything to go by, the smartphone is backed by an octa-core processor clocked at 1.7GHz.

In terms of storage, the smartphone has a 16GB of inbuilt storage, further expandable up to 32GB using a microSD card. The Canvas Hue 2 features a 13MP rear camera with LED flash and a 5MP secondary camera, according to Gizbot.

As far as connectivity is concerned, the Canvas Hue 2 comes with Bluetooth options, MicroUSB, Wi-Fi 802.11 b/g/n, GPRS, EDGE, and 3G.

The smartphone packs a massive 2000mAh battery, which according to the eBay India listing is rated to deliver up to 7 hours of talk time and up to 205 hours of standby time. In addition, the smartphone also packs sensors including proximity sensor, magnetometer, ambient light sensor, and accelerometer.

Join the Discussion

Latest Photo Slide Shows

Real Time Analytics