Smart home
Realme TechLife Robot Vacuum Cleaner Review
Priced at Rs. 24,999 in India, the Realme TechLife Robot Vacuum Cleaner matches up strongly against the Mi Robot Vacuum-Mop P, with laser navigation, simultaneous vacuuming and mopping, and app support among the common features that these two competitors share. Is the Realme TechLife Robot Vacuum Cleaner worth considering over the competition? Find out in this review.
What is the Realme TechLife Robot Vacuum Cleaner, and what’s in the box?
Realme’s first robot vacuum cleaner isn’t just a vacuum cleaner; it’s also capable of wet mopping, which can be done simultaneously along with vacuuming. The device has two sweeping brushes at the front, the main brush in the vacuum zone at the bottom, and space at the back for one of the two fittings – the vacuum dustbin or a combination attachment that has a water tank, mop cloth, and a smaller vacuum dustbin. These attachments can be removed and fixed in place easily, when the robot is on standby.
The robot is disc-shaped like most cleaning robots available right now, and has a raised module at the top for the laser navigation system. The front of the robot has a flexible bumper, which absorbs impact when the robot bumps into walls, furniture, and loose objects on the floor.
There are two buttons at the top; Power and Home. These can be used to control the core functions of the Realme TechLife Robot Vacuum Cleaner even without needing to set up the app, but the full functionality of the device can only be accessed through the Realme Link app. The device is Wi-Fi enabled, and will need to be connected to your home Wi-Fi to enable app-based controls.
Although the water tank attachment isn’t included in the box, Realme has confirmed that it will be provided with the device at the time of delivery at no extra charge. Also included in the sales package are a charging adapter and dock. Both vacuum dustbins have HEPA filters attached. No replacements for the consumables are included in the box, and Realme hasn’t published information on pricing and availability of these parts at the time of this review.
Realme TechLife Robot Vacuum Cleaner navigation and mapping
The Realme TechLife Robot Vacuum Cleaner uses laser navigation, which makes for accurate movement, organised cleaning paths, and the ability to work even in the dark. The robot and app can store maps, which you can use to set the order in which rooms are cleaned, or have the robot clean only individual rooms, among other functions.
Mapping was generally accurate, and navigation was acceptable for the most part, with the Realme TechLife Robot Vacuum Cleaner moving in efficient paths, avoiding most obstacles, and working quickly. You can select a Y-shaped mopping path instead of the default S-shaped path, which takes a bit longer but cleans more effectively by covering each area with two sweeps instead of one.
However, there were some minor issues with the navigation that I noticed during my review. For one, if I selected the Y-shaped path for mopping, this would sometimes remain active even while vacuuming. Carpet and no-go zone detection was sometimes iffy, and some rooms were on occasion ignored completely, even though they were accessible to the robot.
I was also unable to select some rooms in the room selection menu on a few occasions for no apparent reason, and could only clean the missed room by having the device automatically clean the whole house. The remote control mode – which lets you manually drive the robot to clean specific locations – was usually slow to respond to commands, and I found it quicker and easier to just pick the device up and place it in the room I wanted it to clean.
Realme TechLife Robot Vacuum Cleaner app
The Realme Link app is used to control the brand’s range of connected devices, including audio products, cameras, wearables, smart lights, and home appliances. The Techlife Robot Vacuum Cleaner works with this app on both iOS and Android, and appears on the home screen as an option alongside any other Realme devices you have linked with your account. When the Robot Vacuum Cleaner is turned on and connected to your home Wi-Fi, you’ll be able to select it and control it.
Once fully set up and after the robot has mapped your home, the app displays the map with rooms demarcated, and quick controls at the bottom. These include buttons to start and stop cleaning, send the robot back to the charging station, set the suction power, and access the detailed Settings menu. You can also choose different cleaning modes including Auto, Room, Area, and Spot cleaning.
The detailed Settings menu allows you to control schedules, remote control the device, manage maps, select specifics for mopping path and suction controls, and also see the cleaning history and remaining life of consumable parts such as the brushes and air filters. You can also use the home screen to edit room arrangements, set restricted zones, no-mop zones, and virtual walls. You can even define specific instructions for the suction power and water output for individual rooms.
When the mop fitting is attached, you can choose between vacuuming plus mopping, and only mopping. The app also displays statistics such as the area cleaned, time taken, and the exact battery level.
I experienced quite a few bugs during my time with the Realme TechLife Robot Vacuum Cleaner, with a few of them coming from the app. There were times when I couldn’t adjust the suction power while the vacuum cleaner was working; the option to do so was blanked out, and even after pausing the job and making my selection, it still didn’t actually change what the device was doing.
On other occasions, I simply could not connect to the Robot Vacuum Cleaner despite having no issues with Wi-Fi or my home Internet connection. I had to restart my router to force the robot to reconnect. There were a few other issues and bugs as well, which are mentioned in the next section.
Realme TechLife Robot Vacuum Cleaner cleaning
The Realme TechLife Robot Vacuum Cleaner is well equipped for the task at hand, in terms of hardware. This includes two sweeping brushes, up to 3,000pa of suction power, a fairly large water tank, and the ability to vacuum and mop simultaneously. For the most part, the Realme Robot Vacuum Cleaner is effective, and gets the job done quickly and efficiently.
It took around 45 minutes for the device to clean my 900-square-foot home, but the quality of cleaning depended on whether I was operating the vacuum and mop functions separately or simultaneously. Obviously, running both of these separately doubled the time taken, but cleaned more thoroughly. Despite having two sweeping brushes, I found edge cleaning on the Realme TechLife Robot Vacuum Cleaner to be somewhat inadequate, and I had to use a handheld vacuum cleaner to get the job done.
There are four suction modes with different levels of power: Quiet mode runs at 500pa; Normal mode at 1,200pa; Turbo mode at 2,500pa; and Max mode at 3,000pa. I usually had the Realme TechLife Robot Vacuum Cleaner running at the ‘Turbo’ power setting, but what you choose depends on the type of flooring you have and other factors such as how dusty it tends to get in your home. Naturally, the more powerful the mode, the louder the Robot Vacuum Cleaner runs, so you might want to use the lower modes on occasion.
I experienced some strange issues and bugs during my time with the Realme TechLife Robot Vacuum Cleaner, which held back the overall experience significantly. On two occasions, the device inexplicably stopped working, with the laser navigation emitter continuing to spin slowly but the robot entirely non-functional otherwise. This could only be fixed with a hard reset, which meant that I had to repeat the entire setup and mapping process before being able to use the device again.
Other issues included the device sometimes detecting the mop fitting as the vacuum fitting and therefore not mopping; occasionally not discharging any water even with a full tank and the mop mode active; and sometimes losing its Wi-Fi connection for a few minutes at a time. However, once a cleaning task is in progress, the Realme TechLife Robot Vacuum Cleaner is able to complete the task based on its saved map even if it loses Wi-Fi connectivity. It can navigate back to the dock or next room on its own, and will update its progress on the app when reconnected.
Like all robot vacuum cleaners, this one from Realme needs frequent maintenance in terms of keeping the dustbin and mop cloth clean, the water tank topped up, and the brushes free of tangles. I had to go through this process at least twice a week to keep the device operating efficiently.
Realme TechLife Robot Vacuum Cleaner battery and charging
Battery life on the Realme TechLife Robot Vacuum Cleaner is impressive, primarily because of its 5,200mAh battery capacity. After running it for vacuuming and mopping separately in my 900-square-foot home, the battery level dropped to 70 percent, suggesting that it can clean a much larger space in one go without needing to stop and recharge. This naturally also meant that it needed relatively little time to charge back to full after each cleaning task was completed.
From empty, the device takes around 5-6 hours to charge fully; this is a long time, but is understandable given the capacity of the battery. Of course, this will only be a factor with very large homes, and battery life won’t be a concern for most use cases.
Verdict
Robot vacuum cleaners are still somewhat unusual and uncommon in India, although the segment is growing quickly with brands such as Xiaomi and Realme entering the space. That said, such products are still far from perfect and need regular maintenance to work properly. The Realme TechLife Robot Vacuum Cleaner is a technically adept, well-priced device, but I had to deal with far too many bugs and issues during my experience, in addition to the typical drawbacks of a robot vacuum cleaner.
Its ability to clean is decent thanks to plenty of suction power, the app is excellent, and battery life is class-leading. However, the issues with the app, navigation, and general functionality are too serious to ignore. It might perhaps make sense to wait for Realme to roll out fixes for these issues before considering this model; till then, you could also look at the Mi Robot Vacuum-Mop P or 360 S7, which have similar features and functionality.
Price: Rs. 24,999
Rating: 6/10
Pros
- Powerful suction, effective mopping
- Decent app
- Excellent battery life
Cons:
- Many bugs and issues
- Efficiency drops rapidly if not maintained regularly
Smart home
How AI Is Reshaping Home Workouts in India, Portl CEO Explains
Another group of people who benefit from this are the elderly who might not enjoy travelling for exercise due to mobility issues. This is what led to the arrival of various home workout programmes, video tutorials, and online classes. While it did address the problem of accessibility to some extent, one area that was still largely unaddressed was personalisation. But not for long.
Role of AI in Home Workouts
The artificial intelligence (AI) discipline might thank the wave of generative AI that started in late 2022 for mainstream attention, but its impact on the lives of people was felt much before that. From smartphones to search engines and from Microsoft’s Clippy to Amazon’s website, AI technologies such as predictive analysis, rule-based AI, and machine learning (ML) have always been part of popular software.
AI also made its way to the home workout space slowly. Products such as Fitbit and Apple Watch with health and fitness sensors gave people insightful data about their daily activity level. These devices also allowed users to make adjustments to get more out of their workouts opening the path for personalisation.
While the pieces were being put together, the home workout space was missing one key ingredient — expert advice on type of workouts, posture, and an option to build a personalised routine. However, during the COVID-19 pandemic, when the majority of the population was stuck indoors for months, businesses cracked the code.
Carol Bike 2.0, OxeFit’s XP1, and Vitruvian Trainer+ were some of the home gym equipment that sought to bring AI personalisation to people. But they were largely catering to the Western countries and India was missing out. Sensing an opportunity to address this gap, Portl, a Hyderabad-based startup entered the space with its smart mirror-based AI home workout system dubbed Portl Studio.
Gadgets 360 spoke with Indraneel Gupta, Founder and CEO of Portl to understand the tech behind Portl Studio and how the startup is leveraging AI to offer users a personalised experience.
The Vision Behind Portl Studio
Founded in 2021, Portl aimed to solve the same personalisation problem for those who prefer working out at home. Gupta said, “One common issue that persists even today is that gyms and fitness centres tend to follow a very cookie-cutter approach to fitness that doesn’t apply to everyone.”
The company focused on the demographics of people aged 35 and above and found that fitness was as much a convenience issue as it was an engagement issue for them. Their solution? A device with a large smart mirror that can be spotted from a distance — which also doubles up as a display that shows personalised workout routines and follow-along guides to help them get the right motivation. But, how does it all work together?
The Portl Studio Tech Stack
Portl Studio is a 32kg device with dimensions of 5.8 x 2 x 0.1 feet. It is a fairly large and heavy device that requires experts to properly install it to either a free wall inside a house or on a stand. While this would make it a piece of unfeasible equipment for some, it would also be an ideal setup for those whose main struggle is to get out of the house and go to the gym after a long day. For those people, the device tries to fit in all the requirements that could eliminate the need for a social space.
The Portl Studio’s mirror features several sensors that track the user’s posture in real-time. It also comes equipped with biosensors, similar to a smartwatch or a fitness band, that can scan health vitals. The device also implements several cameras to properly assess all of these parameters.
There are two components that enable the data processing as well as allow the user to interact with the system. The first is the system-on-chip. For that, Portl uses Snapdragon chipsets to power the device. It handles all the computational power that the device would need.
The second part is the touch screen, which is a multi-point touch display. The company said that the display is coated with a nano protection layer that adds durability and protects against breakages and damage. The device also connects with Wi-Fi and Bluetooth to let the user either connect their earphones or stream their playlist from Spotify.
“So the idea has always been, how do we create a scenario where the program constantly adapts to the user’s minimum level of performance? We designed a system that looks at variable data, the sleep routine, recovery rate, and more. All of these factors go into the next workout routine that they follow,” Gupta explained.
Portl’s solution was an intelligent machine that prioritises real-time data to process what the user needs in terms of workout intensity. Interestingly, this heavy lifting was done by the company’s AI processes.
AI Behind the Portl Studio
Gupta explained that the entire data collection and AI processing occurs on-device and none of the personal user data ever leaves the system. To handle such complex tasks in real-time, the company included several AI-based processes.
Notably, no generative AI tools were used for the system. Instead, the company uses classical rule-based algorithms to both analyse and predict user behaviour. Gupta explained that the decision to opt for a rule-based algorithm instead of something more dynamic was because fitness science, kinesiology, and body mechanics are not constantly changing and are well-defined.
However, just like generative AI models, these AI systems are grounded at a first principles level to ensure that the system can gauge a base level of user performance. On top of that, the information provided by the user creates an extra layer of personalisation.
To explain how it works, Gupta gave an example, “During the onboarding, a user tells the system about their current lifestyle, injuries, health conditions, and more. All of these factors determine the kind of exercises and movements that will be used to create the workout plan. Then, once a user starts the plan, a 45-second health scan measures the core vitals of the user. This includes metrics such as blood pressure, heart rate, cardiac stress, etc.”
As per the Portl CEO, the scan then creates a baseline for the individual. Further, the cameras also collect data on the user’s functional movement screen, which includes balance, range of motion, and mobility. All of the data is used to understand the user’s starting point. From there, the user gets a workout plan that both pushes them and notes their limitations.
Portl Studio’s Use Case
The Portl Studio offers 15 different workout formats, with calisthenics as its core principle. This means this device does not support weight-based workouts and only focuses on cardio and bodyweight exercises. It also comes with various yoga and meditation courses. Additionally, there are skill-based exercises such as Muay Thai and Kickboxing.
At present, all 15 workout formats and guiding videos from experts are part of the device’s native offerings. This means the user does not need to pay subscription or add-on fees to access any of the content. As a result of all these offerings, the company claims it has more than 1,000 monthly active users despite a steep price of Rs. 1,25,000.
While Portl Studio offers a lot in terms of personalisation, ease of access, and choice of workout, the lack of strength-based workouts does create a significant gap. Gupta realises this, and that’s why the company recently launched a product that caters to this segment — the Ultragym.
Portl Ultragym
Ultragym is a smart fitness device that takes up 2.4 sqft of space and weighs 12kgs. It features a board, cables, accessories, and a bench. The company claims that users can perform 150 different workouts using this device. The cables do not use weight plates and instead use a motor to increase the resistance.
Each cable can be pushed to a maximum of 35kgs for a total of 70kgs of weight for a workout that requires both hands. The device also comes with a companion app that monitors and analyses workouts and creates personalised routines for users. Portl’s Ultragym is priced at Rs. 59,990.
On ensuring safety while users performed workouts with heavy weights, Gupta explained that the device has inbuilt safety features. If a user struggles with the weight or loses balance, the sensors can automatically reduce the weight to allow them to get out of that position safely.
The Future of Smart Home Workouts
Smart home workout technology has come a long way. However, there are still several gaps to be filled. First, personalised routines and fitness tracking have enabled users to make progress without leaving the comforts of home, however, existing devices are not portable enough to be carried everywhere. People who travel frequently will not find such gadgets very useful.
Second, these technologies are focused on basic fitness and do not have solutions for those who have competitive and advanced fitness goals. Further, most of these technologies do not emphasise the motivation element enough, which is a key factor in whether or not a user exercises consistently.
As companies experiment with innovation, these gaps are likely to be filled in the coming years. Till then, whether working out can become an at-home experience or if a social institution such as a gym or fitness centre is necessary, debate is up the air.
Smart home
Apple to Unveil a Smart Home Hub Later This Year: Report
Smart Home Hub Could Be Apple’s Most Significant Launch of 2025
In his latest Power On newsletter, Mark Gurman revealed that Apple will unveil a new HomePod-like smart home hub with a touchscreen later this year. It is claimed to be “Apple’s most significant release of the year,” as it represents the company’s “first step toward a bigger role in the smart home.”
Gurman notes that the smart home hub will be like a smaller and cheaper iPad that lets users control appliances, conduct FaceTime chats, and handle other tasks.
Meanwhile, Apple supply chain analyst Ming-Chi Kuo had stated earlier that the new HomePod with a 6-inch to 7-inch display will enter mass production in the second half of this year. It is said to pack an A18 chip and offer support for Apple Intelligence. If launched, the purported HomePod will compete against the likes of Amazon’s Echo Show and Google’s Nest Hub.
The upcoming model is tipped to carry a square display instead of a rectangular one. It could include a customisable lock screen with multiple clock faces. It is likely to include an in-built camera to support video conferencing apps like FaceTime. The camera may be able to recognise hand gestures.
As per Gurman, the price of Apple’s purported smart home hub will be $1,000 (roughly Rs. 83,740) or more. The company is reportedly working on a new operating system dubbed homeOS to run these devices and its existing smart home lineup including HomePod and HomePod mini. The basis for the OS is said to be tvOS.
Smart home
Noise Tag 1 Bluetooth Tracker With Android and iOS Compatibility Launched
Noise Tag 1 Price in India
Noise Tag 1 price in India is set at Rs. 2,999. It is currently available at Rs. 1,499 as part of a limited period offer, according to the company. The company says its pre-bookings will begin soon and the Bluetooth tracker will go on sale starting January 28 via the brand’s website.
It will be available for purchase in three colourways — Charcoal, Ivory, and Midnight.
Noise Tag 1 Specifications
One of the standout features of the new Noise Tag 1 is its compatibility with both Android and iOS. It can work in tandem with Apple’s Find My network which enables iPhone users to locate lost or stolen items such as keys, luggage, wallets, and even pets. The same functionality is also available for Android devices (Android 9 and above) supporting Google’s Find My Device Network.
The Bluetooth tracker is also claimed to be compatible with Google’s Fast Pair technology, which simplifies the connectivity process for Bluetooth and BLE devices.
As per the company, the Noise Tag 1 comes equipped with a Ring Mode which can help locate misplaced items by activating a 90dB sound. Meanwhile, its Lost Mode automatically sends notifications to the smartphone if the tag disconnects after a specified duration.
Another feature of the Noise Tag 1 is the Network Mode, which is claimed to leverage the vast number of Android and iOS devices in the network to locate lost or stolen items, even if they are out of the immediate range.
The device offers 1 year of battery life and it has an IPX4 rating for splash resistance, according to the company.
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