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Combines the power of Artificial Intelligence and the Internet of Things

Studies the energy signatures of machines using sensors; has proprietary machine learning algorithms

The solution works both on legacy machines and modern discrete manufacturing machines

Potential applications in multiple industries – Healthcare, Retail, Commercial Spaces, Agriculture, Mobility and Industrial Manufacturing

Bengaluru, India: Robert Bosch Engineering and Business Solutions (RBEI) unveiled the new Phantom Edge – an AIoT platform, which combines the power of Artificial Intelligence and the Internet of Things to provide a real-time view of electrical energy consumption, operating usage, electrical parameters, and appliance-level information. Speaking during the launch, Dattatri Salagame, President and Managing Director of RBEI said, “With over 130 years of deep engineering experience solving real-world problems and catering to the demand for niche solutions across industries, Bosch’s Phantom Edge is a powerful ecosystem designed to be leveraged for industries who are jump-starting their digital journey. Phantom Edge has potential applications in a number of industries like healthcare, retail, commercial spaces, agriculture, mobility, industrial manufacturing, etc. RBEI’s vision is to provide smart solutions for the globe and Phantom Edge is a step in that direction. We believe we have built a product that is truly invented for life.” Phantom Edge uses non-intrusive sensors to collect power signatures and ML algorithms sitting on the edge, analyses these signatures to provide a real-time view of electrical energy consumption, operating usage, electrical parameters, and appliance-level information, and thereby creates its digital twin. This information will help in improvising sustainability and productivity metrics. It also provides input on critical safety, machine maintenance, and early warnings on malfunction. Phantom Edge device, which is built with Arm Cortex, chúng tôi 8M Mini Dual-lite, 1.6 GHz Speed processor, 2GB RAM to perform powerful AI & ML algorithms, and 8GB internal memory to store the data during the connectivity loss. The device supports Wi-Fi, 2G, 3G, 4G for cloud connectivity, and BLE, RS 232 serial, and ethernet for communicating with peripheral sensors/assets. The solution also comes with a cloud-based SaaS application with the capability to give real-time alerts and notifications for customers to act upon the asset’s productivity and energy consumption. Addressing the real need of the hour Kaushik Sarkar – Senior Vice President and Director, RBEI said, “Bosch Phantom Edge will stand as a strong pillar for various industries to significantly improve their machine efficiency which is the cornerstone to secure India’s digital future. For Industry 4.0 to reap its true benefits, there needs to be a seamless integration of the value stream that includes the entire supply chain. Also, Bosch Phantom Edge’s non-intrusive design eliminates the concerns of meeting industry standards for the OEMs. As customers form the core of our focus, the Phantom Edge is developed as a perfect solution for monitoring equipment status and metrics in real-time.” Phantom Edge is a powerful ecosystem on the cloud and on-premise that delivers manufacturing efficiency, real-time alerts, and notifications for timely actionable insights. A user-configurable portal and dashboard provide transparency and visibility of factory operations, worker productivity, and machine effectiveness. It automates data capture and measures accurate downtimes by providing timely, bias-free, and precise data that form the basis for managers to set targets, track performance, analyze, and improve on a continuous basis. Currently, Phantom Edge has 2 major uses cases: 1. Phantom Real-Time Energy Monitoring for retail, residential and commercial Spaces: It provides granular energy consumption data at an asset level, without the need of installing submeters, which enables asset benchmarking, identifying anomalies, and drives behavioral change for achieving energy savings and sustainability goals. 2. Phantom Connected Machines for discrete manufacturing SMEs: It provides real-time information on machines OEE (availability, performance, and quality), part count, and energy consumption, thereby enabling productivity and sustainability efforts in the organization in a cost-effective and non-intrusive way without the need for expensive on-site IT infrastructure. Technology powers our lives – from our daily routines, through work, and across industries. While power is critical for all industries and enterprises, its consumption has been at the forefront of business sectors, and its handling and management need to be continually evaluated to set standards in operational efficiency, keeping in mind the pressing ecological concerns of today.   About RBEI: Robert Bosch Engineering and Business Solutions Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world’s leading global suppliers of technology and services, offering end-to-end Engineering, IT, and Business Solutions. With over 20,000 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it’s the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe, and the Asia Pacific region. With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.  

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Dell Launches New Inspiron Laptops, 2

Dell has today launched a bunch of new, redesigned Inspiron laptops in India to cater to the current ‘do-from-anywhere digital lifestyle’ of consumers. These include the Inspiron 14 2-in-1, the Inspiron 13 notebook, and a couple of other laptops. So, before going to the price and availability, let’s take a look at the key specs and features of the new Inspiron series.

Dell Inspiron Series Launched in India Inspiron 14 2-in-1

Starting with the Inspiron 14 2-in-1, it is a hybrid device that comes with a detachable screen to easily turn the laptop into a tablet or vice-versa. It has a touch-supported 14-inch Full HD display with an almost bezel-less design. It can support 4 kinds of modes, namely, tablet mode, tent mode, stand mode, and of course laptop mode.

Under the hood, the device can pack the latest 11th-gen Intel Core processors or AMD Ryzen Mobile CPUs with Radeon Graphics. It can pack up to AMD Ryzen 7 5700U CPU or the 11th-gen Intel Core i7-1165G7 CPU, paired with up to 16GB of DDR4 RAM and 512GB of onboard storage.

Inspiron 13

Coming to the next one, the Inspiron 13 is essentially a thin and light laptop that offers a “best in class” screen experience along with portability. It is made out of light aluminum and weighs around 1.25kgs.

The device boasts a 13.3-inch QHD+ display and the Dell ComfortView Plus, which is an integrated TUV low-light hardware solution that allows users to spend long hours in front of their laptops without straining their eyes.

Turning to the internals, the Inspiron 13 can pack up to the 11th-gen Intel Core i7-11370H CPU coupled with up to 16GB of LPDDR4x RAM and 512GB of SSD storage. As for the I/O, the device packs 1x HDMI, 1x USB-A, 2x Thunderbolt 4.0, and a 3.5mm headphone jack.

Inspiron 14 and 15

The Inspiron 14 and 15 are similar laptops with varying screen sizes. So, as you can tell, the Inspiron 14 packs a 14-inch display, while the Inspiron 15 comes with a 15-inch panel. Other than this, all the other specs of the devices are similar to each other.

The laptops include Intel’s H-series processor along with the Nvidia MX450 GPU. Or, you can configure it to pack the latest AMD Ryzen Mobile Processors with Radeon Graphics. As per the company, the Inspiron 14 and 15 strikes a “perfect balance of style, performance, and productivity” to cater to all kinds of users in the market.

The Inspiron 14 and 15 can pack up to the 11th-gen Intel Core i7-11370H processor along with Intel’s Irix Xe GPU or the Nvidia GeForce MX450 GPU. On the other hand, the Inspiron 14 AMD model packs the AMD Ryzen 5 5500U CPU with Radeon Graphics. The Inspiron 15 AMD model, however, can pack up to AMD Ryzen 7 5700U CPU. The Intel models can pack up to 16GB of DDR4 RAM and up to 512GB of SSD storage.

Price and Availability

The Dell Inspiron 13 will be available for a starting price of Rs 68,990 and go on sale starting from July 7 in India. On the other hand, the Inspiron 14 starts at Rs 44,990, and the Inspiron 15 starts at Rs 48,990 for the Intel SKUs and Rs 57,990 for the AMD SKUs. The Inspiron 14 and 15 Intel models will be available to buy from June 18, while the Inspiron 15 AMD models will come into the market on June 22.

All of the new Inspiron models will be available to buy from Dell’s official online store and major offline retail stores across the country. They will also be available on Amazon and select Dell exclusive outlets in India.

Youtube Launches 4 New Features For Video Creators

YouTube announced the launch of 4 new features designed to help creators enhance their videos and moderate their channel.

Each of the new features were previewed in the latest edition of the company’s ‘Creator Insider’ videos.

Some are available now, while others are rolling out over the next few weeks.

Here’s more about the new features for video creators.

Know When Your Audience is Online

One of the new features YouTube is rolling out was initially launched last month in a limited preview.

Now it’s being rolled out to 100% of channels.

For the first time ever, YouTube is giving creators access to data which lets them know when their audience is online.

This data will pinpoint which hours during the week a channel’s audience is most active.

Here is an example of what the data will look like for creators when viewed in YouTube Studio:

YouTube recommends using this data to determine the best times to broadcast live streams.

Channels may also choose to schedule the publishing of videos when most of their audience is online.

However, YouTube says there’s no conclusive evidence indicating that’s a good tactic.

See: YouTube to Show Creators What Time of Day Their Audience is Online

Review Inappropriate Comments

Creators will see a message in YouTube Studio when the setting has been enabled for their channel.

The setting is available to all channels already, and it can be turned on or off at any time.

Over the past two years since the feature launched there have been teams focused on expanding it to cover 13 languages, as well as improve its accuracy.

Scheduling Community Posts

The ability to schedule community posts is now available on the desktop web main app.

This feature allows creators to draft community posts ahead of time and specify a future publishing date.

YouTube stresses that it’s listening to creator feedback, as this was a heavily requested feature.

Video Chapters

In a few weeks, all creators will be getting access to the new video chapters feature.

This allows creators to break down their videos into different chapters that the viewer can jump through.

In order to utilize this feature, all you have to do is add timestamps to the video description and ensure the first one starts at “0:00”.

Also, the video must have at least 3 chapters, with each chapter being 10 seconds or longer.

Here’s an example from YouTube’s own video:

If creators want to opt out of this feature, but still offer timestamps in their video descriptions, use anything but “0:00” as the first timestamp.

For more information about any of these features, see the video below:

Related: YouTube for Beginners: How to Set up Your Channel

Motorola’s Edge 30 Ultra Pushes Specs To The Limit

Released in China as the Motorola X30 Pro last month, the Ultra sports a whopping 200Mp main camera lens in a claimed industry-first, flanked by a 60Mp front facing camera and a 50Mp ultra-wide.

There’s also a 12Mp portrait lens that lets you adjust the focal length between wide, standard, and close-up. The lens can also be used for 2x telephoto shots.

Also on the impressive specs list for the Edge 30 Ultra is the Qualcomm Snapdragon 8+ Gen 1, a 4,610mAh battery that charges at 125W wired and 50W wirelessly, up to 512GB storage, up to 12GB RAM, and a 6.67in OLED display with a 144Hz refresh rate.

We’re used to seeing 120Hz on the best phones you can get like the iPhone 14 Pro or Samsung Galaxy S22 Ultra, but 144Hz is usually reserved for top-spec gaming phones.

Motorola slapping it on the Edge 30 Ultra and asking for £749.99/€899.99 for it in the UK and Europe is an aggressive pricing move. As the Edge name suggests, the sides of the screen curve away at the edges.

In a small nit-pick, the phone is only IP52 dust and water resistant, but it can record 8K resolution video. Motorola has pretty much gone all out here.

The Motorola Edge 30 Ultra

Motorola

The rear of the phone is matt glass with a camera module housing those big megapixel sensors reminiscent of the design on the Xiaomi 12 Pro.

Many of these design features and specs have also been carried over to the Motorola Edge 30 Fusion, another phone also announced today (we’ll get to the Motorola Edge 30 Neo in a second).

The Edge 30 Fusion has a slightly smaller (but still huge) 6.55in OLED screen that also refreshes at 144Hz and a glass design with the same camera design language and central front facing camera cut-out.

To hit its £499.99/€599.99 price tag Motorola has shaved off the specs a little though, with a 50Mp main camera with optical image stabilisation (OIS) and can also record in 8K, 66W wired charging but no wireless charging, and the Snapdragon 888+ 5G. Like the Ultra, it’s also only IP52 dust and water certified.

The Motorola Edge 30 Fusion

Motorola

At £349.99/€349.99 the Motorola Edge 30 Neo is the cheapest of the three new phones, but it looks like no slouch. Its Snapdragon 695 5G chip is still one of the best mid-range phone options out there, while a 120Hz 6.28in OLED screen, 68W wired fast charging, and up to 8GB RAM and 256GB storage rounds off a strong specs sheet.

It’s also got a 64Mp main rear camera with OIS, a superb feature for the price. Motorola calls it ‘compact’ with a 6.28in screen, and it’s great to see it is a 120Hz OLED.

The company has teamed up to slap Pantone colours on the phones, and there’s a Pantone logo stamped on the back of each of the colours, which won’t be to everyone’s taste. You’ll be able to match the OS colours to them too.

It also packs in the Snapdragon 695 5G, the same solid chip as in the Edge 30 Fusion.

The four Motorola Edge 30 Neo colours

Motorola

These are a trio of promising from phones from Motorola, a company that if anything releases too many phones. But these look like its strongest three for a while, if only on paper.

They’ll be off paper soon – we hope to have full reviews very soon.

Ask The Writers: Is The Linkedin Publishing Platform Worth It?

I’ve done two posts so far as part of our “Ask The Experts” series on Panda 4.0/Payday Loan 2.0 Update and then a followup a few weeks later. However, I thought now was the time for our SEJ writers to get a chance to tackle one of the hottest discussion points right now, the LinkedIn Publishing Platform.

Here’s what I asked a selection of our writers:

“The LinkedIn Publishing Platform has created buzz among content creators who are excited about the exposure it could provide. However, because best practices aren’t set, the future for it isn’t clear. What is your opinion on the future success, as well as the ramifications of the platform, including duplicate content flagging, abuse of the opportunity (using it for sales promotions instead of real content), etc?”

Thanks to our SEJ writers for their thoughtful responses:

What do you think about the new LinkedIn Publishing platform?

I think publishing on LinkedIn is a great way to generate additional exposure and branding for your business…especially if you are in the B2B sector. The only thing I would look out for is posting duplicate content. A lot of bloggers are posting their identical blog posts on LinkedIn and eventually I think this will bit them in the butt.

Using the LinkedIn publishing platform more often is actually one of my goals over the next six months, and I feel like a lot of other people are in the same boat. It seems so great! And it’s so easy! And the potential seems so huge! And….we’re still pushing it to the side. I certainly can’t speak for everyone, but as I look through some of my connections it seems that many people aren’t making a consistent effort, and I do believe the platform’s uncertain future has something to do with this.

We don’t really know much about LinkedIn’s algorithm, and we aren’t sure whether or not these posts will start to gain more popularity in Google search. While it’s wonderful in terms of building up your profile, you want to make sure as a writer your articles are gaining maximum exposure. Because it takes so long to write a quality article, I have to publish it somewhere where I know exactly what I’m getting both now and in the future. If I was able to duplicate content somehow this might be a different story, but for now I have to assume that duplication is a bad idea, and if I want to get involved in this platform I need to spend my time writing something unique. As for sales promotions instead of real content, I haven’t seen it be much of a problem now and my guess is that LinkedIn won’t let it become poor quality in the future.

Finally with all of that said, I absolutely see the value in this publishing platform and I do think it has the potential to grow and become more successful. It’s still fairly new and LinkedIn has some room to improve, and I think they will. Again, I’m still not an avid user of the platform, but I plan to be because I think it has a solid future.

From Razvan Gavrilas of cognitiveSEO:

The LinkedIn initiative looks great. But…as soon as it was launched it generated a lot of traction (maybe too much all at once) and a lot of people started writing all kind of content. I do not think LinkedIn is prepared yet to handle all the low quality content issues. Or maybe they do not care and the system will auto-curate itself. At the moment I am sure a lot of SEOs will try to abuse the system.

On the good side of things, the LinkedIn article platform would allow you to spread more content directly to your LinkedIn network , increasing your perceived authority in a specific niche or area.

“The road to hell is paved with good intentions” as the saying goes, so let’s see where the new LinkedIn article platform will be in the next two years.

From Prashant Puri of AdLift:

LinkedIn’s publisher platform has proved to be a very powerful content marketing tool in an extremely short amount of time. Posts written by authors have the opportunity of reaching 50k+ people in a matter of hours. The platform needs to be part of any marketers social media plan.

With respect to SEO, the content wouldn’t have direct impact on your SEO but indirectly– most definitely. Just like Twitter can be used as a powerful indexation tool, Linkedin’s publisher platform can we used to get your site content over to Google lighting fast.

What’s important is how LinkedIn will deal with duplicate content and content created to spam the platform. In addition, if LinkedIn doesn’t act fast enough on these policies will Google leverage the same content penalties as it’ s done to other low quality content platforms? That’s yet to be seen.

Learn How To Do Real

This article was published as a part of the Data Science Blogathon

Introduction

OpenCV is an open-source computer vision library that provides privileges to play with different images and video streams and also helps in end-to-end projects like object detection, face detection, object tracking, etc.

CVzone is a computer vision package that makes us easy to run like face detection, hand tracking, pose estimation, etc., and also image processing and other AI functions. At the core, it uses OpenCV and MediaPipe libraries. Check here for more information.

Why Real-Time Background Removal is required?

For many reasons, the background of the video needs to be modified as there are so many other interruptions in the background or the background colour doesn’t suit the person due to which background or the color needs to be modified. So, we use the real-time background replacement technique to substitute the backgrounds and add replace them with the desired content.

Popular background removal techniques

Image clipping path – This technique is used if the subject of the image has sharp edges. All those elements that fall outside the path will be eliminated.

Image cut-out – Here we cut the required region or subject in a frame and remove the background.

Image masking – If the images have frills or fine edges we can use image masking techniques.

Erasing the background – Erasing the background of an image using any different tools

Many famous applications use a background removal technique and replace it with a custom one. Here we are going to implement something similar, but using OpenCV and CVzone.

Let’s start the implementation

Install the required modules.

-- pip install OpenCV-python -- pip install cvzone -- pip install mediapipe

First, let us check if our webcam is working fine.

import cv2 cap = cv2.VideoCapture(0) cap.set(3, 640) cap.set(4, 480) while True: success, img = cap.read() cv2.imshow("Image", img) if cv2.waitKey(1) & 0xFF == ord('q'): break

The above code pops up a window if you have a webcam, Here the frame size is 640 X 480. So we need to take a note here because the background replacing images should be of the same size as the frame, that is 640 X 480.

Webcam output

Now create the folder inside the project directory here, I am creating a folder with the name ‘BackgroundImages’. You can download any images or any number of images and place them in this directory.

The project structure will look like the image given below:

Project structure

Let us write a small piece of code in a separate python file to resize all the images in the folder ‘BackgroundImages’ to 640 X 480.

import cv2 import os for root, subdirs, files in os.walk('D:/pycharmprojects/BackgroundRemover/BackgroundImages'): for f in files: if f.endswith('jpg'): # print(f) img = cv2.imread('D:/pycharmprojects/BackgroundRemover/BackgroundImages/' + f) img = cv2.resize(img, (640, 480)) cv2.imwrite('D:/pycharmprojects/BackgroundRemover/BackgroundImages/'+f, img) print(*["Image", f, "is resized to 640 X 480"])

The above code will read the image (jpg) files in the specified folder and resize all the images to 640 X480 at once.

Output after resizing all the images

Now we are all set to implement the background replacement technique.

Import the required modules

import cv2 import cvzone from cvzone.SelfiSegmentationModule import SelfiSegmentation import os

Here in the above module, ‘SelfiSegmentation’ is used to remove the background of the frame and replace it with our images in the directory.

cap = cv2.VideoCapture(0) cap.set(3, 640) cap.set(4, 480) # cap.set(cv2.CAP_PROP_FPS, 60) segmentor = SelfiSegmentation() fpsReader = cvzone.FPS() # imgBG = cv2.imread("BackgroundImages/3.jpg") listImg = os.listdir("BackgroundImages") imgList = [] for imgPath in listImg: img = cv2.imread(f'BackgroundImages/{imgPath}') imgList.append(img) indexImg = 0

In the above code, we take input from the webcam and also set the frame width to 640 X 480. Then we call SelfiSegmentation() and assign it to a variable called segmentor, and in order to display the frames per second(fps) in the output frames, we use cvzone.FPS() function.

Then we create a list of images present in the BackgroundImages folder and we loop through that list and read each and every image and append it to an empty list. The initial index is set to zero.

while True: success, img = cap.read() # imgOut = segmentor.removeBG(img, (255,0,255), threshold=0.83) imgOut = segmentor.removeBG(img, imgList[indexImg], threshold=0.8) imgStack = cvzone.stackImages([img, imgOut], 2,1) _, imgStack = fpsReader.update(imgStack) print(indexImg) cv2.imshow("image", imgStack) key = cv2.waitKey(1) if key == ord('a'): indexImg -=1 elif key == ord('d'): if indexImg<len(imgList)-1: indexImg +=1 elif key == ord('q'): break

Then we stack the images using cvzone.stackImages, here we will get the output of the background replaced image or frames. Then using a simple if statement we assign keys to change the background. For example, if we have 10 background images, as per the above code we can use key “a” or key “d” to change the background of the frames.

The entire code is given below.

import cv2 import cvzone from cvzone.SelfiSegmentationModule import SelfiSegmentation import os cap = cv2.VideoCapture(0) cap.set(3, 640) cap.set(4, 480) # cap.set(cv2.CAP_PROP_FPS, 60) segmentor = SelfiSegmentation() fpsReader = cvzone.FPS() # imgBG = cv2.imread("BackgroundImages/3.jpg") listImg = os.listdir("BackgroundImages") imgList = [] for imgPath in listImg: img = cv2.imread(f'BackgroundImages/{imgPath}') imgList.append(img) indexImg = 0 while True: success, img = cap.read() # imgOut = segmentor.removeBG(img, (255,0,255), threshold=0.83) imgOut = segmentor.removeBG(img, imgList[indexImg], threshold=0.8) imgStack = cvzone.stackImages([img, imgOut], 2,1) _, imgStack = fpsReader.update(imgStack) print(indexImg) cv2.imshow("image", imgStack) key = cv2.waitKey(1) if key == ord('a'): indexImg -=1 elif key == ord('d'): if indexImg<len(imgList)-1: indexImg +=1 elif key == ord('q'): break

The output screenshots are given below

Output 1 Output 2

The entire code is also available here:

Reference:

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