AI can efficiently analyze user behaviors, deduce a pattern, and identify all sorts of abnormalities or irregularities in the network. With such data, it’s much easier to identify cyber vulnerabilities quickly. Contrarily, the responsibilities which are now dependent on human intelligence will then be susceptible to malicious cyber programs imitating legitimate AI-based algorithms. Several organizations are rushing into getting their machine-learning-based products out in the market. With this behavior, they might overlook the algorithms are creating a false sense of security. Relying on “supervised learning” is another threat. Under this, the algorithms label the data sets as per their nature. It could be malware, clean data, or some other tag. If they get access to the security firm, cybercriminals can alter the label as per their convenience. Also, routine tasks relying on AI can be manipulated by advanced hacking campaigns through the use of machine learning. Despite being a security risk to the businesses, AI will continue to minimize the routine security responsibilities with high-quality results. AI automation will be able to identify recurring incidents and even remediate them. It will also be able to manage insider threats and device management.
EyeQ is a tech start-up company that develops advanced AI, Computer Vision, and Deep Learning technologies to support digital transformation processes in multiple industries, including retail, advertising, banking, security, smart city, and factory. The company’s primary mission is to “inject intelligence into what doesn’t have it.”
Next-generation services and solutions offered by EyeQ Tech
Risk Detection: EyeQ’s camera systems automatically send warnings whenever it detects risks such as strangers or suspicious objects in buildings, factories, stores, schools, etc. It can also detect different kinds of questionable actions such as wall-climbing, stealing, throwing, etc. in order to prevent them as soon as possible. EyeQ Team has come up with a new product: Smart Lock using Facial Recognition Technology. It now only takes your customer’s 20s to park their motorbikes right in front of your stores automatically. Smart Lock is a Motor Security System applying Facial recognition technology to stop thieves from stealing vehicles. Smart AI camera systems simplify cities’ infrastructure management by recognizing different kinds of transportation on the streets, verifying vehicle number plates, etc. and transferring them into data that is used in urban transportation planning.
Action Recognition: AR technology refers to the act of detecting and recognizing actions accurately in real-time, even when they are present at different speeds, under various environmental conditions, or combined in sequences of multiple actions.AR technology has strong applicability in several real-world domains, ranging from video- surveillance, content-based videos, or classification. Cameras with AR help detect and alert suspicious actions, chaos, dangerous activities in terms of security. If you are more interested in business, the good news is AR could also give an insight into customer behaviors for in-store analytics.
Emotion Recognition: The concept of advertising on-screen is not uncommon in nowadays business world. However, no one could measure exactly the reaction of the audiences who watch those ads. With the capability to measure six basic emotions, detect genders and ages, ER technology help optimize the advertisement targeting effect. Companies can now save a lot of money yet maximize the approach to their potential customers. Ads on screen are not the only application for ER technology. Whatever idea comes in your mind relating to measuring emotions, ER technology would make it feasible.
Face Recognition Smart Factory: EyeQ applies Computer Vision to detect risks that could cause significant damages like fire, people entering unauthorized entry, or factory workers’ undesirable behaviors. With the Face Recognition feature, Apple’s iPhone X enables us to exterminate phone passwords. But FR technology can do much more than that. FR technology measures and matches the unique characteristics for identification or authentication purposes. The application of this technology varies among CRM (replace membership card), headcounts and heatmap (for retail store), substitute event tickets, HR (check attendance), security (blacklist detection), and pave the way for authentication in banking (EKYC).
Hieu Nguyen, Chief Executive Officer
