Brand Stories
AI Appreciation Day: How Artificial Intelligence Is Reinventing Home Security
In the age of convenience, AI has quietly but fundamentally rewritten the rules of home security. AI Appreciation Day is not just about marveling at robots doing backflips or ChatGPT spinning haikus. It is also about recognising the quiet behind-the-scenes AI technologies that are watching over our domains.
What was once the domain of clunky motion sensors, grainy CCTV footage and false alarms has rapidly been shaped into a streamlined, proactive ecosystem. One that can learn, adapt and protects in real-time.
From Passive to Proactive
Traditional security systems are reactive. A door opens, an alarm sounds. A camera records, and hopefully capture useful footage.
AI has flipped this script entirely. Modern AI-powered security systems like Google Nest, Arlo, Swann, Ring, and countless others use machine learning to differentiate between a possum on the porch and a person at your door. They can tell the difference between your dog and a potential intruder, reducing false alarms and increasing reliability.
Biometrics, such as facial recognition, people detection and license plate reading, were once expensive and niche tech. They are now embedded into affordable home security gear. This shift does not just make homes safer; it makes them smarter.
Simply put, cameras no longer just see. They understand.
Real-Time, Remote, and Always-On
Whether you are at work, on holiday, or lying in bed, your AI-driven security has no down time, does not operate in shifts. The data filtering is done in real-time and notifications delivered to your device almost immediately and often with rich summary.
And with thanks to cloud integration, you can opt out of DVR systems as well. Your entire system’s worth of security footage can be managed from your phone, complete with searchable, time-stamped footage made possible by AI’s brilliant pattern recognition to tag events.
Privacy vs. Protection
But of course with great capability comes great responsibility. The rise of AI in home security also raises legitimate concerns about privacy, data ownership and ethical use. There is a thin line between being secure and being watched.
This is a conversation that needs to be ongoing. Just because AI can see everything doesn’t mean it should.
Smarter Than Human Instinct
It is hardly earth shattering news. AI is outperforms humans in several key areas. It doesn’t:
- get tired
- doesn’t ignore a suspicious noise
- miss a face just because the conditions is less than ideal.
And when it comes to coordinating multiple devices, motion sensors, smart locks, cameras, lights, AI can choreograph them into a symphony.
What is the Future? Predictive Protection
We are beginning to see systems that don’t just react, they are predictive. Imagine AI that learns your daily patterns and flags deviations: a window opened at an unusual time, a delivery left in an odd spot, someone hanging around your property just a little too long.
Some of these anomaly detection is already being tested and is will be exciting to see how it pans out.
AI-powered home security increasingly plays well with smart assistants, climate control, lighting and even appliances. The future home security may not just know something’s wrong. It might lock the doors, call for help and turn on every light while playing your “Angry Dog Barking” playlist on loop.
A Word from Reolink
Nick Nigro, Vice President of Sales Australasia says:
“AI is fundamentally reshaping the way we approach and experience home security. It has moved us beyond legacy security cameras that are limited to basic recording, motion reaction, and alert spam, towards intelligent systems that deliver smart, context-aware detection capabilities that reduce false alarms and focus on alerting users to meaningful activity.”
“Advances in artificial intelligence are transforming every aspect of security cameras, improving both their core technology and everyday usability. The development of new AI features, including intelligent detection, virtual boundaries and AI video search are just some examples of how AI is beginning to be adopted into security cameras. With intelligent detection that accurately distinguishes between people, vehicles, animals, and objects, AI greatly reduces the likelihood of false alarms and ensures users receive only the most relevant alerts. Another advantage of AI is customisable perimeter protection, which allows virtual boundaries, monitoring zones, and linger alerts to be tailored to the specific security needs of any site. This, paired with advanced features, such as AI video search, makes it simple to quickly locate important moments, eliminating the need to sift through hours of footage.”
“At Reolink, we are harnessing the power of AI to create security cameras that set a new standard for protection and convenience. By continuing to integrate advanced AI technology, our cameras will be able to perform tasks in seconds that once took our customers considerable time, streamlining everything from real-time alerts to intelligent monitoring. We’re committed to expanding our AI capabilities so that we are able to continue supporting busy parents, pet owners, homeowners, and travellers in protecting what matters the most.”
“With AI at the heart of modern security cameras, home protection has become more intelligent, intuitive, and personalised than ever before. Today’s systems do more than just watch—they anticipate, adapt, and empower individuals to take control of their safety. As technology evolves, so too does our ability to safeguard what matters most, making security a seamless part of modern living.”
Final Word
On AI Appreciation Day, let’s give a nod to the unsung algorithms silently safeguarding our homes. While the tech still has room to grow, and guardrails to refine, there’s no denying that artificial intelligence has taken home security from reactive protection to proactive peace of mind.
If AI is the new neighbourhood watch, it’s the one that never sleeps, never blinks, and definitely doesn’t gossip (that we know of).
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UK switches on AI supercomputer that will help spot sick cows and skin cancer | Artificial intelligence (AI)
Britain’s new £225m national artificial intelligence supercomputer will be used to spot sick dairy cows in Somerset, improve the detection of skin cancer on brown skin and help create wearable AI assistants that could help riot police anticipate danger.
Scientists hope Isambard-AI – named after the 19th-century engineer of groundbreaking bridges and railways, Isambard Kingdom Brunel – will unleash a wave of AI-powered technological, medical and social breakthroughs by allowing academics and public bodies access to the kind of vast computing power previously the preserve of private tech companies.
The supercomputer was formally switched on in Bristol on Thursday by the secretary of state for science and technology, Peter Kyle, who said it gave the UK “the raw computational horsepower that will save lives, create jobs, and help us reach net zero-ambitions faster”.
The machine is fitted with 5,400 Nvidia “superchips” and sits inside a black metal cage topped with razor wire north of the city. It will consume almost £1m a month of mostly nuclear-powered electricity and will run 100,000 times faster than an average laptop.
Amid fierce international competition for computing power, it is the largest publicly acknowledged facility in the UK but will be the 11th fastest in the world behind those in the US, Japan, Germany, Italy, Finland and Switzerland. Elon Musk’s new xAI supercomputer in Tennessee already has 20 times its processing power, while Meta’s chief executive, Mark Zuckerberg, is planning a datacentre that “covers a significant part of the footprint of Manhattan”.
The investment is part of the government’s £2bn push to attain “AI sovereignty” so Britain does not have to rely on foreign processing chips to make AI-enabled research progress. But the switch-on could trigger new ethical dilemmas about how far AI should be allowed to steer policy on anything from the control of public protests to the breeding of animals.
One AI model under development by academics at the University of Bristol is an algorithm that learns from thousands of hours of footage on human motion, captured using wearable cameras. The idea is to try to predict how humans could move next. It could be applied to a wide range of scenarios, including enabling police to predict how crowds of protesters may behave, or predict accidents in an industrial setting such as a construction site.
Dima Damen, a professor of computer vision at the university, said based on patterns in the human behaviours a wearable camera was capturing in real time, the algorithm, trained by Isambard-AI, could even “give an early warning that in the next two minutes, something is likely to happen here”.
Damen added there were “huge ethical implications of AI” and it would be important to always know why a system made a decision.
“One of the fears of AI is that some people will own the technology and the knowhow and others won’t,” she said. “It’s our biggest duty as researchers to make sure that the data and the knowledge is available for everyone.”
Another AI model under development could detect early infections in cows. A herd in Somerset is being filmed around the clock to train a model to predict if an animal is in the early stages of mastitis, which affects milk production and is an animal welfare problem. The scientists at Bristol believe this could be possible based on detecting subtle shifts in cows’ social behaviour.
“The farmer obviously takes a great interest in their herd, but they don’t necessarily have the time to look at all of the cows in their herd continuously day in, day out, so the AI will be there to provide that view,” said Andrew Dowsey, a professor of health data science at the University of Bristol.
A third group of researchers are using the supercomputer to detect bias in the detection of skin cancer. James Pope, a senior lecturer in data science at the University of Bristol, has already run “quadrillions if not quintillions of computations” on Isambard to find that current phone apps to check moles and lesions for signs of cancer are performing better on lighter coloured skin. If confirmed with further testing, apps could be retuned to avoid bias.
“It would be quite difficult, and frankly impossible to do it with a traditional computer,” he said.
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Woman conned out of $15K after AI clones daughter’s voice
A Florida woman says she was conned out of $15,000 by a scammer who used artificial intelligence to replicate her daughter’s voice.
Sharon Brightwell, who lives outside of Tampa, told WFLA that she was targeted by scammers last Wednesday after receiving a call from a number that appeared to belong to her daughter, April Munroe. When she picked up, Brightwell heard her daughter’s hysterical voice claiming she had hit a pregnant woman with her car while texting and driving.
“There is nobody that could convince me that it was not [her voice],” Brightwell told WFLA. “I know my daughter’s cry, even though she’s an adult, I still know my daughter’s cry.”
Monroe was in Carrollwood, a nearby suburb at the time, she wrote on a GoFundMe page to help recoup her mother’s money.
“My voice was AI cloned and sounded exactly like me,” Monroe wrote. “After you hear your child in distress, all logic is out the window.”
A man then took the phone and claimed to be Monroe’s attorney. He told Brightwell he needed $15,000 cash to pay her bail. She couldn’t tell the bank what it was for or else her daughter’s credit would be affected, the man said.
“He says, ‘Can you do that?’ I said ‘Not really, but yes,’” Brightwell told WFLA. “I’ll do whatever I have to do for my daughter.”
Brightwell withdrew the money from her bank and put it inside a box, which she then gave to a driver who showed up at her house.
Soon after, Brightwell received another call from someone claiming to be a relative of the pregnant woman her daughter supposedly hit. They said the woman’s unborn baby had been killed in the wreck and they wanted $30,000 cash, or else they’d sue.
Monroe says her son was with Brightwell the whole time and was in “just as much panic and worry.” He realized it was a scam after Monroe texted him on her lunch break.
“Then it all came together,” Monroe wrote. “My mom and son were in absolute shock.”
Monroe immediately left to go be with her mother and son. Monroe’s son “hunched over to throw up” when he first saw her and realized she was safe, she said.
“To tell you the trauma that my mom and son went through that day makes me nauseous and has made me lose more faith in humanity,” Monroe wrote. “Evil is too nice a word for the kind of people that can do this.”
Brightwell and her family encourage people to take proactive steps to prevent scams, such as coming up with a “code word” to use in emergency situations, WFLA reports.
Monroe said she filed a police report, and an investigation is underway. The Independent has contacted the Hillsborough County Sheriff’s Department for comment.
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