Connect with us

Technology

Mitsubishi’s Successfully Develops Crowd Surveillance A.I.

Published

on

Mitsubishi Electric has developed a system using artificial intelligence technology that can monitor crowds and pick out particular individuals.

Applications for the system include scanning commercial areas for people acting suspiciously or simply needing assistance.

The Japanese electronics maker said the video-based system utilizes deep learning technology, through which a computer can learn the characteristics of specific objects.

The company hopes to market the system by the 2020 Tokyo Olympics, when huge numbers of visitors are expected to descend on the Japanese capital.

The system monitors video feeds from security cameras and detects individuals that fit predetermined characteristics automatically and in real time. It can detect, for example, someone carrying a suspicious item, such as a plastic fuel can, someone pushing a stroller or an elderly person walking with a cane. It can also recognize specific movements so that it can alert security personnel to someone walking erratically.

One demonstration video shows several people walking. As soon as a person with a fuel can comes into view, the system highlights them with a white rectangular frame.

Hidenobu Kanda, chief of Mitsubishi’s security systems department, said the use of deep learning technology makes programming easier to define attributes for people with specific characteristics.

In order to be able to recognize a stroller, the system first memorizes images taken of the object from various angles. Using this knowledge, it can automatically spot someone pushing a stroller passing in front of the security camera. Precision in detecting a specific image improves as the system builds on previous experience.

Conventional image recognition systems, in contrast, need to learn many more details of the objects’ characteristics, necessitating complex programming. In the case of a person, it would need to first learn that a human pedestrian is an object with a width-to-height ratio of 2-to-8 that moves at a speed of about 20kph at the most, and so on. It would then need to learn the details of the stroller before it can recognize a person pushing it.

Mitsubishi said its system is particularly useful in commercial facilities and event venues, enabling crowd-management staff to come to the aid of people who need assistance or security guards to monitor people acting suspiciously. The electronics maker wants to introduce system by Tokyo Olympics. Mitsubishi also eyes other applications for the system. In a joint effort with researchers from the University of Tokyo, the company is developing an image-analysis system that predicts how congested different routes between an event venue and the nearest station will become. For this, the company plans to use the AI crowd monitoring system to extract a demographic profile of pedestrians so that organizers can address the different needs of attendees.

Although Mitsubishi aims for a commercial introduction of the system by 2020, some issues remain to be solved.

One is the question of where to set the degree of detection precision amid varied needs expected by customers. Although facility owners will want a high precision when it comes to detecting specific individuals entering a venue, detecting individuals acting suspiciously will require a different level of precision.

Kanda said the company would need to feed more data into the deep-learning system to raise accuracy, but this will result in higher costs.

In terms of the number of images the system needs to learn, Kanda said opinions are divided among the development team with some saying 100 to 1,000 images per object would be enough, while others insist on over 10,000 images.

____________________________________________

About the Author

This article was produced by Grendz.

Entrepreneurship

The Legacy of AIM

Published

on

On a cold February morning in 1997, America Online filed a patent for something that was to become the basis of hundreds of social tech startups.

They called it the “Buddy List.” It was the heart of the digital social structure that formed AOL Instant Messenger.

The first words of the patent abstract explained:

The invention implements a real time notification system that tracks, for each user, the logon status of selected co-users of an on-line or network system and displays that information in real time to the tracking user in a unique graphical interface.

If you were a 90’s kid, chances are you remember what a Buddy List was. You likely recall the AIM install CD, your screen name, and how much effort went into your carefully crafted away messages. You can probably reminisce about competing for time on the home computer so you could chat with your friends.

The world had never seen anything like it. And it captivated us all.

AOL Instant Messenger is shutting down for good, 20 years after it launched.

But what it established lives on. AOL didn’t know it back then, and we don’t realize it today, but AIM is the father of our modern social web.

Don’t believe me? Let’s start with the Buddy List.

Buddy List

Think about what’s at the foundation of any social media you use today. It’s that list of other human beings. Followers, friends, whatever they’re called. Social media doesn’t work without these groups of real people and it all originated with the Buddy List.

The Buddy List was everything. Credit

The Buddy List was exactly what you’d think — your list of friends. You controlled who was on it. You could find new people through information they put in their profile, but you had to both agree to the connection — if you were on their buddy list, they were on yours.

The most important feature of the buddy list was the ability to see whether each person was online. This remarkable little feature created a way to “feel” that your friends were around. There was an intimacy and immediacy to it.

Being on someone’s buddy list meant something. Nothing had ever come along like this before AIM, where you had a digital group of connections tied to your real relationships.

Away Messages

If one of your friends wasn’t online, you’d see their “away message.”

AIM away messages.

Have you ever written a tweet or status update? Then you’ve gone through the same process AIM users went through to write away messages. It is the ancestor of those widely-used features.

The away message started as a set of three default options: online, busy, or away. But then AOL set up the ability to write a custom message and it quickly transformed into a way to express yourself to your buddies. From simple plans you had for the day, to quoting lyrics from your favorite songs, the away message let you broadcast anything to the world.

Profiles

The modern digital profile is quite a remarkable thing. In essence, it represents the notion that we can have a web persona that we completely control.

We’ve all agonized over the perfect profile pic or handle. We make conscious decisions about cover images and bios so that we present to the world exactly the image that we want.

That all started on AIM.

Some examples of AIM profiles.

The service let you choose things like an avatar, bio, fonts, and colors, but your biggest decision was your screen name. It could be anything from xXPunkRockPonyXx to InternetDiane. The possibilities of every alphanumeric combination allowed you to choose something meaningful, personal, and easily recognizable, so that’s what everyone did.

This kind of customization helped us realize how what an online persona could be.

Messaging

Online instant messaging hit a sweet spot. It was better than email and less formal than a phone call. It fit right in with what the rising generation wanted as a form of communication.

Chatting on AIM. Credit

It’s still something we can’t get enough of 20 years later. The underlying concepts of Facebook Messenger, WhatsApp, Slack, Discord, and Snapchat all began with AIM.

This is where communication and real human connection actually happened. Things like late night chats with your best friend about the latest music or deliberately worded conversations with that girl or boy you had a crush on.

It was all about the contact with other human beings over the internet in a real, direct, private, and personal way.

The Running Man

AIM could be considered the first social media superpower. It was a digital consumer tool used at an unprecedented scale, a household name.

It defined the social potential of the web for Americans. Perhaps more than any other product, AIM helped establish the internet as a place to hang out rather than a simple utility.

Entrepreneurs realized that, too. AIM was the starting point of an exponential trend in social web startups. Companies like Twitter, YouTube, Facebook, LinkedIn, Pinterest, and Instagram are some of the major players who have ridden that wave.

The running yellow figure of AIM’s logo seems fitting in retrospect. The idea of always on, always transmitting captured the feeling quite well.

Now the runner is passing the baton.

_________________________________________

About the Author

This article was written by Jordan Bowman.

Continue Reading

Entrepreneurship

Making Globalisation Work for Startups

Published

on

AI platform Globality is giving small and medium businesses access to broader opportunities.

Ina post-Brexit, “America First” world, protectionism seems to be back in fashion, and globalization has become something of a dirty word. Since the 1990s, global trade has helped lift over a billion people out of poverty, driven sustained economic growth, lowered consumer prices, and delivered unprecedented freedoms to much of the world’s population.

Still, middle-income earners have seen their living standards stagnate, while many of the great leaps forward in automation are destroying the jobs of those least able to cope, with vastly greater levels of disruption feared.

Large multinational companies still seem to be the greatest beneficiaries of a globalized marketplace. Small and medium-sized businesses, which constitute the bulk of the world’s economy and drive most job creation, find it more difficult to make valuable connections that can lead to international trade opportunities and contracts with large organizations.

This is due in large part to the outdated procurement process based on Requests for Proposals (RFPs), which is still the standard across most industries. RFPs are not only extremely time consuming, but such competitions are used as cover for a procurement decision that has already been made, so prospective smaller suppliers never really stand a chance.

Joel Hyatt cofounded Globality to prove that technology could be the missing link to make globalization work for more businesses. By providing a matchmaking platform that connects big clients–Fortune 500 companies spanning financial services, pharmaceuticals, food and beverage, consumer goods, and other sectors–with a diverse pool of providers, he wants to help those small and medium-sized companies land contracts that would otherwise be out of their reach.

He served as the national finance chair for the Democratic Party during Al Gore’s presidential campaign in 2000, and after the election, partnered with Gore to start a media company that they sold in 2013. When Hyatt started Globality in 2015, Gore became an investor. The company has since raised $35 million in their latest funding round and embarked on a major expansion of its platform that uses artificial intelligence to match the small clients with big contracts all over the world. So far, over a dozen fortune 500 companies and over 40 multinational corporations have signed up on the client side, and its SME (Small and Medium Sized Enterprise) Service Provider Network covers every continent and more than 100 countries.

The platform is made up of three main elements, explains Globality CTO Ran Harpaz: The first gathers information from the client, helping them to determine what their real needs are. The second matches them with the best service provider to fulfill those needs, and the third helps build the relationship by fostering collaboration between the two parties.

For the first part, the client answers a detailed Q&A devised by their experts. Their algorithms then extract a variety of data points from those clients using NLP (Natural Language Processing) and continues to build upon that in a constant learning loop. It takes all the information from the questions it asks of both client and providers during the matching process to suggest a shortlist of possible matches, which is then reviewed by an industry expert consultant at the final stages.

This AI-powered consultancy model effectively harnesses the best of both worlds, according to Harpaz, as it scales the nuanced, sector-specific expertise that traditionally comes at a prohibitive premium. By leveraging machine learning to recognize interactions–often spotting patterns in the data that might not have occurred to a person and using that in the matching process–this high-level human know-how becomes accessible to companies without multimillion-dollar consultancy budgets at their disposal.

“At every step, the system is collating feedback from both sides, learning from signals that tell it how the match is actually working in practice by prompting them with questions based on interaction data,” Harpaz says. “This systematic approach to human knowledge representation effectively gives people superpowers, by taking that magic sauce of human interaction and knowledge, and making it possible to apply that consistently and at scale.”

Although this process is building toward ever more efficient automation, Harpaz says that they will always need a human expert to look at those matches with a strategic eye and make the final decision on the most suitable pairings. “What Globality is doing is making high-level knowledge and expertise accessible to a much larger pool of companies and people, rather than only the large corporations who have been traditionally able to afford the services of consultancy firms,” he explains. Globality’s pricing model is usually free for client companies, with suppliers being charged a percentage of the contract’s value, but only once they receive payment themselves for the services they provided.

Waqqas Mir, a partner at Axis Law Chambers, a law firm based in Lahore, Pakistan, is one of the suppliers using Globality to reach international clients. Mir feels that law firms such as his in developing countries often lose out on such business because of their size. Being on the platform, however, gives them the opportunity to open up new channels of communication, which he believes provides great value in the long term. “That allows you to begin a relationship and remain on their radar,” he explains. “The whole thing is motivated by a desire to ensure a more inclusive global economy.”

Globality matched a Fortune 50 company with South African marketing agency Colourworks. The company had to find service providers who were Broad-Based Black Economic Empowerment-certified by the South African government. “So we worked backwards from that, looking at all the providers who matched the certification criteria, and narrowing it down from there,” Harpaz says.

Since winning the Africa account, the agency has continued to use the Globality platform to connect with their new client on a global level, and are now exploring the possibility of working with them in Germany. “In this day and age, it is so easy to do business online or over video conferencing, so distance is really not a barrier,” says Lexy Geyer, account director at Colourworks.

Enabling smaller companies to become “micro-multinationals” means they will in turn fuel job creation and economic growth throughout the developed and developing world. Globalization and AI are often portrayed as inevitable waves of disruption that will leave chaos and inequality in their wake and ultimately make much of humankind and their skills redundant. But if platforms like Globality continue to create opportunities for diverse smaller businesss in this global marketplace, perhaps globalization can become a force for good.

_________________________________________________________

About the Author

This article was produced by Alice Bonasio.

Continue Reading

Trending