#computer vision platform

FPT, a multinational technology business with headquarters in Vietnam, and Landing AI, a well-known provider of AI software and computer vision solutions in the US, have partnered to advance AI applications and education. The partnership was announced during the FPT Techday 2023 in Hanoi, Vietnam, and involves FPT being a major investor in Landing AI as well as a strategic partner for the Asia Pacific area. It is anticipated that enhanced AI cooperation between the US and Vietnam would result from this alliance.

The primary goals of this collaboration between FPT and Landing AI are to investigate and cultivate unexplored market prospects across multiple industries, such as manufacturing, education, healthcare, and automotive. They intend to take advantage of FPT's broad network in the Asia-Pacific region as well as Landing AI's vast experience in these areas, notably in the North American market. This expands on an earlier contract that was started in 2022 between Landing AI and FPT Software, a subsidiary of FPT, to implement end-to-end visual inspection solutions throughout Asia by utilizing their respective AI skills.

Furthermore, FPT Software and Landing AI are thinking of opening an engineering facility specifically for that purpose in Vietnam. The goal of this center would be to produce a top-notch AI workforce and open up employment opportunities for both businesses. Concurrently, FPT Education will work with Dr. Andrew Ng, the CEO and founder of Landing AI, who was named one of Time Magazine's Top 100 Most Influential People in AI. FPT Education is the company's industry-focused private education program. It advises on AI development and aims to establish a thorough AI curriculum for students in grades 1 through 12.

Artificial intelligence and machine learning have transformed many industries, streamlining workflows and making many impressive feats possible. One of the more compelling aspects of AI is how it interacts with visual inputs like photos and videos. Computer vision enables computers to identify objects and understand complex visuals.

But before machines can learn to process that content, it needs data annotation. Data annotation labels the information in videos, paving the way for training and eventual AI-powered recognition.

Whether it's for government applications, healthcare, or manufacturing, here are some benefits of AI video annotation.

Easy Object Detection

Implementing computer vision and training a machine to distinguish between objects in a video requires tons of data processing. Computers must use machine learning to determine what it's viewing accurately. Video annotation can streamline training and fast-track how computers learn.

Think of it as repeatedly telling the computer what objects it's trying to identify. When you have annotation, you're creating a point of reference and a single source of truth. Over time, the computer understands that annotation and learns to identify it automatically. Once machines reach that point, it opens up a world of possible applications.

Training for Object Tracking

Videos are different from static images. The media is ever-changing, and computers must learn more than simple shapes and outlines. AI video annotation provides a deeper understanding of objects. It helps differentiate unique variations, allowing computers to track objects the entire time they're in focus.

Think of what's possible after machine learning does its job. Manufacturing facilities can monitor production cycles, following specific objects through the line. Transportation hubs can keep track of passengers as they make their way through busy terminals and gateways. Annotation facilitates those capabilities, unlocking more potential with the technology.

Object Localization

Annotation can also locate objects once they come into focus. Video annotation teaches machines the complex way target objects move and change as they move through video. Computers can then automatically detect, follow, and locate those objects for however long they are in focus.

Those capabilities can help many industries avoid delays, improve efficiency, and boost data accuracy.

Computer Vision Platform | Clarifai