PLUS INSIGHT measures the level of interest in each zone based on visit and dwell event data. The number of dwell events is calculated as a percentage of visits, which is then used to derive the interest data for each zone. For example, if 100 people visit the ice cream section and 70 dwell events occur, the interest level for that zone would be 70%.

In this blog, we would like to share the insights and impressions of new employees who joined as interns. What does Deeping Source look like through the eyes of these fresh employees? Although they have only been with us for a short time, they’ve already learned a lot and gained diverse experiences. This post will give you a glimpse into our company life through their fresh perspectives.

In the past decade, AI technology has grown at a rapid pace, surpassing previous advancements in human development. With the evolution of neural networks and the emergence of innovative technologies like 'AlphaGo' and 'ChatGPT,' the advancement of AI is accelerating.

Measuring the experience of customers visiting your brick-and-mortar store is critical. However, it's hard to measure this in the same way as a traditional People Counter. You can estimate dwell time, but that's just an estimate, and it only tells you what the average dwell time is across your entire store.

The EU AI Act mandates high transparency for datasets and algorithms used in AI system training, including clear documentation of data sources and processing methods. Deeping Source's SEAL service is an innovative solution designed to meet these requirements while offering additional benefits.

In the online era, offline retailers are facing significant challenges. For instance, the well-known supermarket chain EMart in Korea has decided to close underperforming stores every month. The reason is simple: survival. Over the past few decades, the retail industry has undergone considerable changes, from mail orders to the internet, and the transition to e-commerce platforms like eBay, Amazon, and Shopify. This shift towards Direct-to-Consumer (D2C) trends presents substantial challenges for retail operators.

What is Store Care AI by Deeping Source? Store Care AI is an artificial intelligence solution designed to maximize the efficiency of store operations and simplify routine management tasks. The AI monitors the interior of the store in real-time and automatically suggests necessary actions. This allows store owners to manage their stores more easily and effectively.

In an era where technology seamlessly integrates into every facet of our lives, the retail industry stands at the cusp of a revolution, driven by the twin engines of AI and data analytics. However, this transformation brings a critical challenge: balancing leveraging customer data for insights and respecting individual privacy. Deeping Source emerges as a beacon in this landscape, pioneering a privacy-centric approach to retail optimization that respects and prioritizes safeguarding consumer data.

In the dynamic world of retail, hypermarkets are constantly seeking innovative ways to understand and improve customer engagement. The introduction of Vision AI technology is transforming their ability to identify and recapture missed sales opportunities, a previously elusive metric that is now becoming clear.

With data breaches and privacy violations frequently making headlines, the importance of robust data security measures cannot be overstated. Deeping Source has been at the forefront of developing AI technologies that prioritize personal information protection. We have now achieved a significant milestone that reflects our unwavering commitment to these principles – attaining SOC2 Type 2 certification.

Once upon a time, in the bustling marketplaces of ancient civilizations, interactions among people were not just transactions; they were an essential part of daily life. These interactions were characterized by a blend of trading for necessities and engaging in social exchanges for pleasure.

In the dynamic landscape of deep learning applications, the emergence of machine learning as a service (MLaaS) stands out. However, as we navigate the intricacies of client-server inference, a crucial concern surfaces: privacy. This concern becomes especially prominent in scenarios where servers handle raw data from user devices.

Our work "Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels" presents a new approach to machine learning, particularly useful in real-world applications where data for multiple tasks is often incomplete or partially labeled. The paper focuses on leveraging these disjoint datasets effectively within a Multi-Task Learning (MTL) framework.

In the competitive landscape of brick-and-mortar retail, understanding customer behavior is critical. Vision AI technology offers an unprecedented opportunity to gain insights into how customers interact with the store environment. By analyzing three distinct types of data – heatmaps, dwell-time, and attention maps – retailers can fine-tune their strategies for improved customer engagement and increased sales.

In the rapidly advancing world of artificial intelligence (AI) and machine learning (ML), the sanctity of data privacy, especially in image and video anonymization, can no longer be an afterthought. Traditional data anonymization techniques, such as blurring or adding noise, have been the go-to for many organizations. However, these methods often degrade the quality of data, leading to suboptimal AI model performance. Deeping Source stands at the forefront of this challenge, offering a proprietary solution for video and image anonymization to train AI models without compromising on data integrity.

In today's fast-paced business world, the difference between success and stagnation often lies in the ability to make quick, informed decisions. This is where PLUS INSIGHT comes into the picture, serving as a game-changer for businesses across various sectors. But what makes PLUS INSIGHT so crucial for your business? Let's delve into its transformative impact.

The holiday season is a critical time for retailers with physical stores, offering a unique opportunity to boost revenue through seasonal promotions. However, the key to capitalizing on this period lies in understanding the varied and evolving behaviors of holiday shoppers. This is where advanced Vision AI technology plays a crucial role, offering invaluable insights into customer interactions within a store. Adapting to Seasonal Shopper Dynamics During the holidays, shopper behavior undergoes a significant transformation. The influx of customers, their diverse shopping needs, and the urgency of their purchases present unique challenges. Traditional sales analysis methods often fall short in capturing these dynamic changes, highlighting the need for real-time, AI-driven analytics. Real-Time Insights for Agile Decision Making Vision AI technology offers a real-time understanding of how shoppers engage with the store environment. It allows retailers to track customer

Enhancing retail strategies in hypermarkets through A/B testing is increasingly important due to the need to understand consumer behavior for success. A/B testing compares two variables, like product placement or pricing, and traditionally relies on sales data. However, this can miss pre-purchase behavior, an issue that Vision AI technology addresses by tracking customer paths and interactions before purchase. Traditional A/B testing in hypermarkets has challenges, including reliance on post-purchase data and inconsistent test conditions. Vision AI overcomes these by providing comprehensive insights into the customer journey, leading to more effective retail strategies. The future of retail strategy hinges on integrating technologies such as Vision AI with traditional A/B testing methods to remain competitive and meet consumer expectations. This combination enables personalized and successful retail experiences, with innovations like "Deeping Source Plus Insight" leading the way by offering data-driven insights that allow hypermarkets to make informed, customer-resonant decisions.

The digital age has gifted us with a double-edged sword: data that fuels artificial intelligence (AI) to unprecedented heights of capability and the looming specter of privacy breaches that can occur if that data is mishandled.

In today's rapidly evolving retail landscape, computer vision AI is not just another tool for collecting and presenting data; it's a game-changer that sets itself apart by offering actionable insights that empower retailers to transform their daily operations. While most of vision AI solutions inundate businesses with vast amounts of data, Deeping Source’s focus is squarely on delivering insights that brick-and-mortar retailers can immediately put into practice, changing the way they work on a day-to-day basis.

In an era where offline spaces like marts, malls, stores, hospitals, warehouses, parking lots, and beyond are thriving with bustling activity, the potential of video analytics is immense. From understanding shopping behaviors to fine-tuning parking logistics, cameras now play an integral role in improving user experience and maximizing operational efficiency. However, as our surroundings become increasingly interconnected, concerns regarding personal privacy are inevitable. How do we leverage the advantages of AI-driven video analytics while safeguarding individual privacy?

As the clock ticked midnight in Seoul, Sumin, co-founder of Deeping Source Inc., was delighting in nachos and dipping sauce halfway across the world in the eastern US. This moment was special; it was the eve of launching our revolutionary enterprise.We were on a quest: to christen our new venture with a name that embodied our mission—making every piece of data worldwide securely accessible without compromising privacy. We scoured the internet, tossing around numerous names, only to find that many were alrea