More companies in several industries are seeking to leverage digital technologies to increase productivity by streamlining or revamping business processes, thus meeting customers’ changing needs and the market. And this is where artificial intelligence (AI) comes into play.
The Seoul Metropolitan Government put forth an effort into creating a prime site for AI industry development near the Yangjae district. AI Yangjae Hub, established by the city government in December 2017, plays a key role as a special cluster for growing creative talents, innovative companies, and promoting exchanges. The Hub helps about 100 of its nourishing companies cross the threshold into the global stage by diverse support programs ─ from fundraising, investment facilitation, cooperation with conglomerates, test evaluation, business networking, human resource training to global expansion ─ Here are the four startups with prospects which are supported by the AI Yangjae Hub.
▲ AI Yangjae Hub
▲ Managing Director: Jong Y. Yoon
▲ https://ai-yangjae.kr/
▲ info@ai-yangjae.kr
▲ +82-2-2135-6818
AI Technology for Better Air Quality; Brilliant & Company
It’s true that all of us face a variety of risks to our health due to air pollution as there are various pollutants present in our lower atmospheric zone. Exposure to ambient airborne particulate matter (PM) is hazardous to human health. It is associated not only with respiratory diseases but also other diseases. PM is not a single pollutant, but rather is a complex mixture of particles of various sizes and chemical composition originating from combustion and other sources. People with heart or lung diseases such as coronary artery disease, congestive heart failure, and asthma or chronic obstructive pulmonary disease (COPD), children and older adults may be at greater risk from PM exposure. Children and infants are more vulnerable to harm from inhaling PMs as children’s immature immune systems may cause them to be more susceptible to PM than healthy adults.
As most people spend nearly 80% of their time indoors, where the air within homes, offices, and other buildings may be more seriously polluted than the outdoors, it is significant to continuously monitor and control the PM levels in the surrounding indoor and outdoor atmosphere. Brilliant & Company, a promising startup, came up with an AI-based platform with a precise device in order to ensure air quality in our daily lives.
PiCOHOME, a small and portable device developed by the company, collects accurate real-time air condition data anywhere – at home, in the car, outdoors, the office and even in the gym. It is very easy to carry, set up and use. PiCOHOME can be connected with devices such as your smartphone or AI speaker and other platforms such as smart home systems or Amazon Alexa. It is possible to monitor the air with multiple PiCOHOMEs, as a hub, from anywhere using the mobile app. PiCOHOME’s monitoring will let you know if the air you breathe is too dry, hot or cold, or when to ventilate or adjust your air quality. It allows you to have an understanding of your air quality to maintain your health. PiCOHOME also helps you stay in the comfort zone with an optimized environment. Particularly, this system is recommended for those living with asthma, allergic rhinitis, and atopy.
Despite its portability, it is equipped with high-quality sensors to collect six different air quality measurements, including PM2.5, PM10, VOCs, CO2, temperature, and humidity. PiCOHOME received first-class certification from the Korea Testing and Research Institute (KTR), certifying it at 86.2% in terms of accuracy and precision. It means that its performance is on a par with industry-level air quality monitoring systems.
With PiCOHOME and its own platform, Brilliant & Company enables real-time collection, processing and analysis of air quality data using sensors. The platform, furthermore, can provide data collected by customized smart sensors to support customer-required protocols, data types and forms, and security. Abundant experience in developing data monitoring solutions optimized for diverse clients – such as a large Korean hospital, research institute and healthcare companies – needs and technical skills can effectively identify factors that worsen air conditions and use them for further tasks that require precise prediction.
Digital Therapeutics for childhood asthma under development is Brilliant & Company’s next milestone. Dorazee is a digital therapeutic that utilises the combination of the environment sensor and wearable patch-type respiration sensor. It provides therapeutic solutions for better asthma care through day-to-day management. The system monitors the status of the respiratory system and the patient’s real-time environmental data, including temperature, humidity, air quality, pollen, mite, mold, and pet. It can enable management of asthma exacerbation triggers, taking medications, and symptom logs.
It is reported in 2019 that 44.3 percent of American children aged 18 and younger who had asthma reported having one or more asthma attacks in the past year. According to the American Lung Association, an estimated 400,000 to one million children with asthma have their condition worsened by exposure to bad air quality such as secondhand smoke. In light of it, the advanced air-quality monitoring system with PiCOHOME and the digital therapeutics named Dorazee is quite noteworthy.
▲ Brilliant & Company Co., Ltd.
▲ CEO : Jungyon Yun
▲ https://www.brilcom.com/
▲ info@brilcom.com
▲ +82-2-6959-5538
Cutting-Edge Technology to Innovate Corporate Productivity: Ellexi Co., Ltd
We may safely say that this is the age of artificial intelligence (AI) which has become a game-changer for business renovation. Companies in many industry sectors are seeking optimized AI technologies, including pattern analysis and prediction capabilities, to innovate productivity. With AI adoption, some companies could capture value from AI at the enterprise level, and many are generating revenue and cost reductions. However, achieving impact at scale is still elusive for many companies adopting AI for their business model, as it would have required organizational changes and in-house development. Here’s a ready-to-utilize AI service which is accessible to even those who do not have an AI-skilled programmer on board.
Philo-AD, the service provided by Ellexi Co., Ltd, is a deep learning-based anomaly pattern detection solution utilizing a sensor or log data analysis. It is modeled to make the most accurate failures predictions, monitor malfunction of certain parts and detect suspicious events or system misuse, which can reduce the alarm fallacy and also minimize the alert fatigue issues. These self-learning algorithms that continually improve efficiency are sector-agnostic, which means that its applicable scope is not limited to a specific industry.
While some AI software requires one more process to collect anomaly data when learning the pattern itself, the Philo-AD can utilize and analyze the entire operation data with its own time-series data analysis technology. The hybrid approach of deep neural network (DNN) and hierarchical behavior knowledge space (HBKS) curtails time and cost for the algorithm system buildup by at least 50%, compared to its rivals.
If, particularly, your company is facing a shortage of AI technical experts or an urgent need for an AI system, Philo-G would be helpful. Philo-G, a service version of Philo-AD, is available through the AWS marketplace in the AIaaS (AI as a Service) category. This subscription-based service in a simple API format enables customers to carry out data pre-processing, modeling, and analysis on specific data without worrying about the enormous cost of building an environment for AI analysis.
Philo-V is another deep learning-based solution, which can detect abnormal behavior captured on surveillance videos such as CCTVs. Its point of difference is that it is a self-learning model which can continuously detect newly-found behavior, threat, and other movements that have never been specified before, which brings excellent performance in finding unknown threats.
Ellexi attempted to optimize efficiency and productivity of both the manufacturing system and workers. Philo-UB, a deep learning-based User Behavior analysis solution, enables efficient workflow. It automatically visualizes task-related data sets, provides input error correction, alerts the user for review and recommends next worksteps for predictive maintenance, based on the historical information collected through the user’s keyboard and mouse events.
Members of Ellexi are confident of its best-in-class technological quality. Its data acquisition, analysis and visualisation tools have been used in collaboration with diverse companies – the company has been participating in the Proof-of-Concept project of developing AI-based immigration management systems with the Incheon International Airport and the Korean Ministry of Justice. Ellexi integrated existing processes in the airport with its Philo-V to detect and track abnormal or suspicious behaviors. The technology got great respect because it showed the highest detection rate under a wide range of conditions including lighting, camera angles, CCTV installation location, and throngs.
By continuously improving the productivity of working or manufacturing processes, Ellexi’s solutions can lower costs, reduce downtime and minimize waste. With the usage of solutions, identifying and reducing misplaced or underused production capacities would bring opportunities for growth without investing in additional monetary for physical resources.
▲ Ellexi Co., Ltd
▲ CEO : Jangwon Suh
▲ https://www.ellexi.com/
▲ marketing@ellexi.com
▲ +82-70-7733-5679
Make Informed Choices about the Food You Consume; INI Solution
We may safely say that this is the age of artificial intelligence (AI) which has become a game-changer for business renovation. Companies in many industry sectors are seeking optimized AI technologies, including pattern analysis and prediction capabilities, to innovate productivity. With AI adoption, some companies could capture value from AI at the enterprise level, and many are generating revenue and cost reductions. However, achieving impact at scale is still elusive for many companies adopting AI for their business model, as it would have required organizational changes and in-house development. Here’s a ready-to-utilize AI service which is accessible to even those who do not have an AI-skilled programmer on board.
Philo-AD, the service provided by Ellexi Co., Ltd, is a deep learning-based anomaly pattern detection solution utilizing a sensor or log data analysis. It is modeled to make the most accurate failures predictions, monitor malfunction of certain parts and detect suspicious events or system misuse, which can reduce the alarm fallacy and also minimize the alert fatigue issues. These self-learning algorithms that continually improve efficiency are sector-agnostic, which means that its applicable scope is not limited to a specific industry.
While some AI software requires one more process to collect anomaly data when learning the pattern itself, the Philo-AD can utilize and analyze the entire operation data with its own time-series data analysis technology. The hybrid approach of deep neural network (DNN) and hierarchical behavior knowledge space (HBKS) curtails time and cost for the algorithm system buildup by at least 50%, compared to its rivals.
If, particularly, your company is facing a shortage of AI technical experts or an urgent need for an AI system, Philo-G would be helpful. Philo-G, a service version of Philo-AD, is available through the AWS marketplace in the AIaaS (AI as a Service) category. This subscription-based service in a simple API format enables customers to carry out data pre-processing, modeling, and analysis on specific data without worrying about the enormous cost of building an environment for AI analysis.
Philo-V is another deep learning-based solution, which can detect abnormal behavior captured on surveillance videos such as CCTVs. Its point of difference is that it is a self-learning model which can continuously detect newly-found behavior, threat, and other movements that have never been specified before, which brings excellent performance in finding unknown threats.
Ellexi attempted to optimize efficiency and productivity of both the manufacturing system and workers. Philo-UB, a deep learning-based User Behavior analysis solution, enables efficient workflow. It automatically visualizes task-related data sets, provides input error correction, alerts the user for review and recommends next worksteps for predictive maintenance, based on the historical information collected through the user’s keyboard and mouse events.
Members of Ellexi are confident of its best-in-class technological quality. Its data acquisition, analysis and visualisation tools have been used in collaboration with diverse companies – the company has been participating in the Proof-of-Concept project of developing AI-based immigration management systems with the Incheon International Airport and the Korean Ministry of Justice. Ellexi integrated existing processes in the airport with its Philo-V to detect and track abnormal or suspicious behaviors. The technology got great respect because it showed the highest detection rate under a wide range of conditions including lighting, camera angles, CCTV installation location, and throngs.
By continuously improving the productivity of working or manufacturing processes, Ellexi’s solutions can lower costs, reduce downtime and minimize waste. With the usage of solutions, identifying and reducing misplaced or underused production capacities would bring opportunities for growth without investing in additional monetary for physical resources.
▲ INI solution
▲ CEO : Yangwon,Kim
▲ https://inisolution.io
▲ contact@inisolution.io
▲ +82-70-5159-7730
Track Your Lost Dogs with Their Nose Prints: Petnow INC.
Dogs are bright and curious creatures which like to roam and explore the world. They are also so quick that they disappear in a flash if pet parents become distracted and lose track of their kids. One in three pets will become lost at some point in their life, as the American Humane Association estimates that ten million pets are reported lost or stolen in the U.S. every year.
Pet owners will often turn to conventional methods of searching for their stray pets; from flyposting, searching and getting help through social media, and microchipping. Offering unique and permanent identification by implanting a microchip underneath a pet’s skin was considered as the most cutting-edge and reliable technology that increases the likelihood of a pet returning home. Unfortunately, a passive microchip is not the same thing as a GPS, and its frequency and database for identifying pets have been fragmented in the U.S. A dedicated device is required to scan a microchip inside a pet, and some owners mind that the insertion may be painful for their pets.
In the pursuit of a reliable identification method for doggies, an AI startup named Petnow Inc. has introduced a cleverly designed app that uses a dog’s unique nose print to help identify and reunite lost dogs with their beloved humans. Similar to human fingerprints, dog nose prints can be used for biometrics as they are unique to each canine and remain unchanged over time. The mobile app, ‘Petnow’, makes it easier and more accessible to register an inscription at home without a chip implant surgery or hospital fees. Although the app is not tracking the location of registered puppies, users can bring a great saving of time and cost without sacrificing chances to reunite lost dogs with owners.
With the help of AI-driven pattern recognition and image processing technologies, the mobile app leverages the unique features of nose prints for dog identification. Its nose print recognition technology can auto-focus the canine snout and capture the high-quality clear image. And its own algorithms classify a dog’s nose print and confirm dog identity by comparing the similarities between nose print characteristics. This nose print verification method also leaves no worry of chips being damaged or lost in the pet’s body and is less invasive than other approaches to dog identification such as DNA tests and microchip implants. The ‘Petnow’ app will be available for Apple and Android devices in the first-quarter of 2022.
Giving your pet identification which can go through the computing process conveys quite a significant meaning to the pet industry. You can create a pet profile for registering pet insurance or checking-in through print searching. While the trend for pet insurance has spiked in the past several years, the absence of standardized codes for pets has remained as a setback. In that sense, the dog nose print verification technology can boost the implementation of a standardized framework of pet identification.
Petnow Inc. is pouring its efforts into further development including sophistication with more data and another development of identification algorithms for cats. Its technology is actually proven by the industry, as the mobile app is selected as the Best of Innovation in the Consumer Electronics Show (CES) 2022, which is the most influential technology event in the world. While preparing for the exhibition, the company is also pursuing partnerships with diverse stakeholders; from government agencies, insurance corporations, pet-tech companies, to animal shelters. Petnow Inc. seems to be at the corner of a springboard for business expansion.
▲Petnow Inc.
▲ CEO : Jesse Lim
▲ https://petnow.io/
▲ contact@petnow.io
▲ +82-10-6439-1139
Kayla Hong
Asia Journal
