Realme-Narzo 10 A specifications| review | cost

Realme Narzo10A

Special Attraction : Triple camera | Gaming processor | Low cost

Realme has launched the Narzo 10A smartphone at the end of may 2020 to target young people, particularly those who prefer gaming. Realme started producing these low cost and best featuring mobiles from the OPPO brand. Oppo is the famous brand and well known for its good quality smart phones. So,there is no need of hesitation whether Realme is good brand or not etc. Lets have quick look on the Narzo 10A specifications:

1)Brand

• Model name: Narzo 10A
• Realme

2)5000mAh Massive Battery

   One of the Realme Narzo 10's best assets is its 5000mAh battery. In our experience, the phone lasted through a full day of use, which included about an hour of playing games, streaming a full-length movie, and lots of casual Internet usage. We were left with over 30 percent on the battery indicator at the end of a full day. Our HD video loop test ran for an incredible 25 hours, 31 minutes.

• Supports Reverse Charging
• No need of frequent charging with a massive 5000mAh battery which gives a standby time of up to 30 days. 
• 10W charging power (5V, 2A inbox)
• With reverse charging, your phone can even act as a power bank and charge other devices.

          Standby:727.7 Hours                   Movie:20.8Hours                   Call:43.9Hours

          Navigation:25.6Hours                  Music:19.4Hours                PUBG:10.6Hours

3)Helio G70 Processor

• Ultimate Gaming Performance
• CPU : Octa-core CPU, Up to 2.0GHz for Gaming.
• GPU: Mali G52
• The brand new & ultra-powerful MediaTek Helio G70 Processor
• HyperEngine technology features multiple optimizations for a seamless gaming experience.

4)AI Triple Rear camera
We have a quad rear camera setup on this phone, which goes to show how easily a budget phone can be made to seem high-end. The 2-megapixel macro and 2-megapixel depth sensors are now pretty common across all low-cost phones, so you won't feel as though you're missing out on anything. However, they are of limited utility, as we've seen many times already. Macros are blotchy and rough, with the resolution limited to only 1600x1200 pixels, so this camera should be used more for fun than anything else.

• 12MP main camera ,  2MP macro lens , 5MP front camera
• Large f/1.8 aperture and 1.25μm large pixels, capture beautiful pictures, even in low light. 
• The rear camera also features PDAF for fast and accurate autofocus.
• 4x digital zoom
• AI Portrait mode gives best bokeh photos.
• Comes with inbuilt AI HDR, AI beauty, Chroma boost, Filter mode, Panorama mode, Expert mode, Time-Lapse mode, Ultra macro mode, Portrait mode
• 1080p HD Video recording at 30fps 
• Support 120fps slow motion video recording

5)Design

Color 
      Narzo 10A series comes with a new realme iconic design which is bold and unique, showing the true colors of youth and fashion.

• Blue color
• White color

Display

• 16.5cm (6.5 inches) Large Screen. Best for Watching movies,playing games or reading
• 89.8% Screen-to-body Ratio.
• LCD multi-touch display
• 1600-by-720-pixel resolution
• 480cd/m2 max brightness (typical)
• Night mode for eye care
• Corning Gorilla Glass

Security

   

• Fingerprint Unlock - Fast responsive fingerprint sensor, unlocks in 0.27s
• AI Face Recognition supports AI Face Unlock to make sure your information remains secure.

Card Slots

• Use upto Two Sim cards(4G).
• Dedicated MicroSD slot expandable up to 256GB

6)RAM & Storage

• RAM: 3GB
• ROM: 32GB
• Up to 256GB external memory

7)Cellular & Wireless

• Wi-Fi 802.11 b/g/n
• Bluetooth 5.0 wireless technology
• Model supports FDD-LTE (Bands 1/3/5/8) ; TD-LTE (Bands 38/40/41) ; WCDMA (B1/B5/B8) ; GSM (850/900/1800/1900)

8)Size & Weight

• Length: 164.4mm
• Width: 75.0mm
• Depth: 8.95mm
• Weight: ≈195g(with battery)

9)Sensors

• Light sensor
• Proximity sensor
• Magnetic induction sensor
• Acceleration sensor
• Fingerprint

10)Ports

• 3.5mm headset jack
• Micro-USB
• Dual nano-SIM and TF card

11)Navigation

• GPS/A-GPS/Beidou/Glonass

12)Operating System

• realme UI
• Based on Android 10

13)Box include

• Realme Narzo 10A
• MicroUSB Cable
• 10W Charge Adapter
• Screen Protect Film (2D TP Film)
• SIM Card Needle
• Quick Start Guide
• Important Product Information (including the Warranty Card)

Overall Review

     This Narzo 10A is really a high performing budget smartphone. It is best for them who are trying to buy a smartphone under 10K. It is the trendy and on demand smartphone and available in flash sales at Flipkart. Best suitable for high level action games like PUBG, Freefire, COD etc.. Security is also good with immediate responsive face unlock and fingerprint unlock. IT has really a powerful camera.

Interfacing HC-05 with Arduino

Interfacing ArduinoUNO and HC-05 Bluetooth module using AT Commands?

Here, I will show you can configure the HC-05 Bluetooth Module using AT (Attention) commands.

These AT commands can be used to Check and Change the Name, Password, Baud Rate for Communication of HC-05 Bluetooth Module.

Follow these steps:

1. Connect Arduino Uno Board to Laptop and upload a Example Sketch to the Arduino from Arduino IDE.
   (Note: Upload SoftSerial Example sketch for better understanding )
2. Connect HC-05 Bluetooth Module in configuration(AT) mode:
   

   Arduino Uno -> BluetoothModule
   Pin10        -> Rx 
   Pin11        -> Tx
   Gnd          -> GND
   Vcc          -> VCC(+5V)
   3.3V         -> Enable(En)
   

3. Enter into configuration mode:
   Plug out  Gnd or Vcc wire of Bluetooth (HC-05) module and hold the reset button pressed  but do not release, Plug in Gnd or Vcc wire you removed and then release the reset button you pressed.

1. To verify whether HC-05 is in configuration mode, 
   LED on Bluetooth module must blink at a slower rate.   
2. Open Serial Arduino serial monitor and Set Baud Rate = 38400 and select "Both NL and CR" Option
3. Type following AT commands in given Sequence
   

   FORMAT:
   ---------------------------
   <Command>
   :Explanation
   --<Expected Output>
   --------------------------

   AT
   :Attention Command
   --OK

   AT +NAME?
   :To Check the name of the module
   --+NAME:HC-05
   --OK

   AT +NAME=ARUN
   :To change name of the module to ARUN
   --+NAME:ARUN
   --OK

   AT +PSWD?
   :To check the current password of the module
   --+PSWD:124
   --OK

   AT +PSWD=0000
   :To set the password to 0000
   --+PSWD:0000
   --OK

   AT +ADDR?
   :To check the address of the module
   --+ADDR:98d3:32:1123f9
   --OK

   AT +UART?
   :To check the Baud Rate of the module for communication
   --+UART:9600,0,0
   --OK

For more commands and detailed information please go through the pdf given below

https://drive.google.com/open?id=1039ed8CUpXr5DaWpqigTUUxQ_4rl-5ru

Thank you...

Machine learning vs AI

Machine learning versus AI: what's the difference?

---

By LEE BELL

01 Dec 2016

But while AI and machine learning are very much related, they are not quite the same thing.

AI is a branch of computer science attempting to build machines capable of intelligent behaviour, while
Stanford University defines machine learning as “the science of getting computers to act without being explicitly programmed”.

You need AI researchers to build the smart machines, but you need machine learning experts to make them truly intelligent.

Big technology players such as Googleand Nvidia are currently working on developing this machine learning; desperately pushing computers to learn the way a human would in order to progress what many are calling the next revolution in technology – machines that 'think' like humans.

Over the past decade, machine learning has given us self-driving cars, 

practical speech recognition, effective web search, and a vastly improved understanding of the human genome. But how does it work?

Let’s take a very simplified example. When you make a typo, for instance, while searching in Google, it gives you the message: "Did you mean..."? This is the result of one of Google's machine learning algorithms; a system that detects what searches you make a couple seconds after making a certain search.

An artist's impression of a Differentiable Neural Computer

For example, suppose you were searching for 'KNOWLEDGE' on Google but accidentally typed 'knoledge'. After the search, you'd probably realise you typed it wrong and you'd go back and search for 'KNOWLEDGE' a couple of seconds later. Google’s algorithm recognises that you searched for something a couple of seconds after searching something else, and it keeps this in mind for future users who make a similar typing mistake. As a result, Google 'learns' to correct it for you.

While this is a very basic example, data scientists, developers, and researchers are using much more complex methods of machine learning to gain insights previously out of reach. Programs that learn from experience are helping them discover how the human genome works, understand consumer behaviour to a degree never before possible and build systems for purchase recommendations, image recognition, and fraud prevention, among other uses.

So now you have a basic idea of what machine learning is, how is it different to that of AI? We spoke to Intel’s Nidhi Chappell, head of machine learning to clear this up.

“AI is basically the intelligence – how we make machines intelligent, while machine learning is the implementation of the compute methods that support it. The way I think of it is: AI is the science and machine learning is the algorithms that make the machines smarter.

“So the enabler for AI is machine learning,” she added.

Chappell went on to explain that machine learning is the fastest growing part of AI, so that’s why we are seeing a lot of conversations around this lately. Even though it’s a small percentage of the workloads in computing today, it’s the fastest growing area, so that’s why everyone is honing in on that.

Microsoft

"Simple examples are when you go to a new place and search online for ‘top things to do’, the order you see them in is defined by machine learning, and how they are ranked and rated, this is all machine learning,” Chappell said, adding that it’s the same story for when news is trending.

“AI has become so pervasive in our lives we don’t come to recognise that it’s powering a lot of things,” she added. “You probably use it dozens of times a day without knowing it.”

Elsewhere, Facebook is attempting to demystify the concepts in a series of videos and blog posts.

"Your smartphone, house, bank, and car already use AI on a daily basis," explained Facebook engineering leads Yann LeCun and Joaquin Quiñonero Candela. "Sometimes it’s obvious, like when you ask Siri to get you directions to the nearest gas station, or Facebook suggests a friend for you to tag in an image you posted online. Sometimes less so, like when you use your Amazon Echo to make an unusual purchase on your credit card and don’t get a fraud alert from your bank.

"AI is going to bring major shifts in society through developments in self-driving cars, medical image analysis, better medical diagnosis, and personalised medicine. And it will also be the backbone of many of the most innovative apps and services of tomorrow."

The pair continued that AI isn't magic, it's just maths - albeit really hard maths.

THE THREE TYPES OF AI LEARNING

REINFORCEMENT LEARNING

This type of learning concentrates on how an AI 'agent' should behave in order to get the most out of its work. The machine picks an action or a sequence of actions, and gets a reward. This is used when teaching machines to play and win games but needs a large number of trials to learn even simple tasks.

SUPERVISED LEARNING

This is when researchers tell the machine what the correct answer is for a particular input. For example, they show it an image of a car and tell it the correct answer is “car.” It is the most common technique for training neural networks and other machine learning architectures.

UNSUPERVISED LEARNING/PREDICTIVE LEARNING

Humans and animals learn, typically, in an unsupervised manner by watching how the world works and by observing our parents. However, no-one is there to tell us the name and function of every object we perceive so we have to teach ourselves basic concepts such as: the world is three-dimensional, objects don't disappear spontaneously and objects that are not supported fall. Researchers don't know how to do this with machines at the moment, at least not at the level that humans and animals can.

But in order for AI to progress, machine learning must make big jumps in terms of performance, and this is rarely possible in the traditional high-performance computing world, where problems are well-defined and optimisation work has already been happening for many years.

Machine learning algorithms still have room for improvement, and that’s why a lot of the large technology companies are making it a central focus to their strategy, and working tirelessly to make it more intelligent, in order to push forward and create the next innovation, such as completely autonomous and 100 per cent safe self-driving cars.