Scalable × Responsible: Panasonic’s AI Future

Dec 25, 2025

Products & Solutions / Stories

Scalable × Responsible: Panasonic’s AI Future

From everyday products and essential social infrastructure to R&D, Panasonic Group AI is making an impact across diverse fields. With over a century of manufacturing excellence, Panasonic advances AI through two core concepts: Scalable AI, which leverages world-class development capabilities to accelerate innovation, and Responsible AI, which ensures safe and trusted AI deployment and use in society. Together, these concepts drive Panasonic’s effort to transform society through AI.

Panasonic AI: Close to your life

Panasonic Group AI is designed to deliver reliability and trust and seamless integration into daily life. Our goal is intuitive ease of use without special expertise. For example, Panasonic refrigerator AI Camera recognize food products, automate stock management, and help reduce household food waste. But Panasonic AI isn’t only for home appliances. We’re adapting AI to a wide range of social infrastructure and business use cases, from facial recognition systems for airports to AI systems that can read floor plans and calculate construction costs instantly. In the laboratory, Panasonic AI is automating the exploration of new materials, cutting product development turnaround significantly and delivering meaningful results.

Facial-recognition gates are increasingly used at airports

Facial-recognition gates are increasingly used at airports

This AI can analyze floor plans, calculate materials required, and estimate costs, streamlining manual work and saving significant time

This AI can analyze floor plans, calculate materials required, and estimate costs, streamlining manual work and saving significant time

AI-controlled “Smart Lab” experimentation system

AI-controlled “Smart Lab” experimentation system

Panasonic’s ability to apply AI to diverse contexts comes from our history of being early to integrate AI into product functions that users experience directly. For example, our automated facial recognition systems build on AI developed to automate cameras. Panasonic Holdings AI engineer Kazuki Kozuka explains, “To equip small devices like cameras and home appliances with AI, we had to evolve progressively sophisticated models that responded flexibly even when faced with challenges we hadn’t anticipated. Moreover, we had to achieve this under constraints of limited processing and current capacity. Consequently, we have accumulated technologies and expertise that achieve high performance and safety despite these constraints.”

History of Panasonic Group AI Development

World-class, blazingly fast: Scalable AI development

Traditionally, AI models often needed to be trained separately for each application, whether ingredient recognition for refrigerators, facial recognition for airports, floor plan analysis for housing, and so on. Building each AI requires massive amounts of image data and annotation, with development turnaround and cost as major obstacles.

Mini FAQ: What is Scalable AI?

Scalable AI

A: Scalable AI is a Panasonic AI development concept. The idea is to not just create advanced AIs, but to deploy (scale) them rapidly and efficiently across products and services. Our ultimate goal is to deliver AI capabilities quickly to all customers.

Product/Gemba-Tailored Data Structuring

To address this challenge, Panasonic is forging ahead with world-class technologies based on its Scalable AI concept, which is transforming conventional development approaches and greatly advancing efficiency in image recognition. For example, HIPIE (Hierarchical Open-vocabulary Universal Image Segmentation) is an advanced foundation-model-based approach designed to drastically reduce annotation costs and improve AI development efficiency. HIPIE can identify objects in images and label even complex shapes through simple text instructions, and can detect even fine differences between objects without prior training. Panasonic’s complementary SegLLM model can remember prior image segmentation results and use them to refine future recognition. Even without training on a specific object, SegLLM can still identify or segment previously unseen objects with the user.

Annotation During AI Development (Object Region Detection)

Another Panasonic AI model, Diffusion-KTO, addresses the shortage of training images for AI development. By incorporating human feedback, the system synthesizes training data. Panasonic’s advanced AI models are now gaining recognition at such top-tier international AI conferences as ICLR 2025.

Diffusion-KTO Use Example

Not just intelligent, but trustworthy.
Responsible AI has your back

Panasonic Group prides itself on world-class development speed and technical prowess, but Responsible AI is our highest priority. Ensuring that our AI models can be used safely, reliably, and with trust is a non-negotiable commitment. Because AI models can draw incorrect decisions when facing unknown conditions, it is important that these models don’t pretend to know what they don’t know. To this end, Panasonic’s FlowEneDet is a generative AI model designed to estimate uncertainty in image recognition results and prevent misclassification of objects when an AI model has never seen them before. FlowEneDet helps AI models recognize when objects are genuinely unknown, and safely stop or notify users without malfunctioning.

Mini-FAQ: What is Responsible AI?

Responsible AI

A: Responsible AI is another Panasonic AI development concept. Efforts to bring fairness, privacy, and transparency to our AI technology so people can place their trust in it. Our goal is to earn the trust of everyone using Panasonic AI.
https://tech-ai.panasonic.com/en/responsible-ai/

A traditional dilemma in AI development is the tradeoff between accuracy and processing speed. Panasonic’s SparseVLM technique overcomes this dilemma by focusing only on truly important information, much the way people do. SparseVLM delivers speed with intelligence, which were once considered incompatible goals, and enables fast, precise decision-making.

Comparison: SparseVLM vs. previous sparsification methods (from SparseVLM paper)

Comparison: SparseVLM vs. previous sparsification methods (from SparseVLM paper)

Panasonic’s future vision

Panasonic Group isn’t just developing AI models. We are using AI to create products and services. This integrated strength is unique to Panasonic as a manufacturing group. We are further expanding our AI advantage to deliver greater value to customers, and the launch of Panasonic Go is another indication of this direction. Panasonic Go is an important group-wide project aimed at driving business transformation and enhancing customer value through AI.

AI use case: electric shaver development

Mini-FAQ: What is Panasonic Go?

A: Panasonic Go is a global growth initiative that leverages Panasonic’s accumulated expertise, technology, and hardware capabilities to drive business transformation through AI. The initiative aims to fundamentally reshape business operations, customer value creation, and revenue generation. Its goal is to expand AI-driven businesses—including hardware, software, and solutions—to around 30% of total group sales by 2035.

Technology development based on the dual concepts of Scalable AI and Responsible AI is the foundation of Panasonic Go. Panasonic has long refined AI through products tied closely to daily life. Now we are extending this expertise to major technologies that support core functions of society. With scalable development, responsible integrity, and expertise in implementation honed over a century of advanced manufacturing, Panasonic Group will keep delivering groundbreaking AI models and AI-enabled products and services that justify customer trust.

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