Public intellectual property5 granted patents (including 1 jointly filed patent) and 1 published patent application. Other applications are in progress and will be listed after publication.
2 exclusive distribution rightsConfirmed in public primary sources
We identify and connect the deep technologies Japan has developed, integrating the eyes, brain and body that AI needs to operate in the real world.
Carrying forward the manufacturing spirit built by earlier generations, we nurture the young talent who will shape Japan's next generation and establish new standards for the AI era.
Small connections can begin great change.
Standard Link will continue to be a bridge to the future.
The power to connect
We connect technology, people and data to create meaningful innovation.
The power to act
We deliver the integration and control needed to put AI to work in the real world.
The power to shape the future
Together with the next generation of talent, we build new standards for the AI era.
Image layout: the full philosophy is on the left; the three capabilities are on the right, under the shared corporate-philosophy heading.
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
PHYSICAL AI PLATFORM
Four technologies. One Physical AI system.
We connect AI cameras, Edge AI, drones, robots and AIDC, designing the full path from field input to decisions, actions and learning.
An overview connecting AI input, field processing, execution systems and data infrastructure.
Image text translation
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
STANDARD LINK Physical AI Platform
From AI vision to edge computing, data infrastructure and real-world applications.
1. Applications / 2. AI models
3. AI infrastructure / 4. Edge and sensors / 5. Power and energy
For business applications / for the AI foundation
Drones and aerial applications / smart infrastructure / robotics / industry and manufacturing
Mobility / agriculture and life sciences / enterprise AI and digital transformation / security
Vision AI / sensor fusion / Edge AI / foundation models / agentic AI / data platform
HOLONIC DATA CENTER / distributed AI infrastructure
On the left, layers 1–2 are grouped as business applications and layers 3–5 as the AI foundation. The right side places eight application areas above six technology categories and the distributed data-center foundation.
A project-specific configuration combining cameras, Edge AI, drones, robots and AIDC.
Image text translation
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
The Anatomy of Physical AI / integrated Physical AI architecture
Perception, thinking, reflexes, motion, structure, infrastructure and learning connect as an integrated whole to enable intelligence that acts autonomously in the real world.
1. Eyes / perception: HOLONIC Eyes
2. Brain / processing: HOLONIC Edge AI
3. Nervous system / reflex: sensor fusion / SentryWave
4. Muscles / actuation: MDC Motor
5. Skeleton / form: Sky-Drones / robotics
6. Heart / infrastructure: HOLONIC DATA CENTER
7. Spirit / learning: YAOYOROZU AI & ORBA
Integrated architecture
The concept links seven core elements seamlessly to support advanced autonomy.
Real-time intelligence
The design aims to minimize delay from perception to action and enable immediate decisions.
Scalable infrastructure
A consistent data foundation from edge to cloud supports secure, reliable operations.
The central hub is connected by lines to all seven labeled elements, with the data center shown as the lower foundation.
Site note: names are labels in the original architecture concept, not guarantees of current product availability, exclusive rights, interoperability, latency or achieved autonomy.
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
The source concept describes integrating multiple sensor inputs at the edge without delay: an on-site brain that not only sees but makes immediate decisions.
Real-time, multidimensional fusion analysis without dependence on centralized cloud processing.
HOLONIC Edge AI
Structured data: object detection / anomaly alert: high priority / classification: vehicle type / real-time analytics / sensor-fusion output
Multiple signal inputs enter the computing board from the left; five labeled structured outputs fan out to the right.
Site note: 'without delay' and 'immediate' express the original diagram's design intent, not a verified zero-latency guarantee. Processing time and supported inputs must be measured for the actual configuration.
START WITH THE PROBLEM
Start with your challenge, even before choosing the technology.
We identify the products, technologies and next steps your field challenge requires. Where feasibility is unproven, we define what a PoC needs to measure.
01 / EMPLOYEE PROTECTION
Prepare your organization to address customer harassment
In Japan, from October 1, 2026, all employers must implement employment-management measures to prevent customer harassment in the workplace.
Evaluate: consultation arrangements, fact-finding, appropriate recordkeeping and organizational procedures to prevent recurrence.
AI that protects people: harassment detection and records
Cameras capture events, Edge AI assists in identifying candidate records, and records are preserved for people and organizations to establish the facts. As an initial Physical AI application, we introduce patented technology to protect employees (Japanese Patent No. 7728631) and contract development.
In Japan, preventive measures against customer harassment, including consultation and response arrangements, become mandatory for employers on October 1, 2026.
From NVIDIA Jetson to Intel Edge: configuring AI vision and processing for each use case.
PATENT / EDGE AI / JAPAN MARKET INTEGRATION
×
CAMERA MODULE / ISP / EDGE IMAGING TECHNOLOGYAPPRO TECHNOLOGY ECOSYSTEM
APPRO Photoelectron is listed in the Elite category of NVIDIA's official Jetson partner directory.
Standard Link has a strategic partnership with APPRO Photoelectron Inc. and has obtained exclusive distribution rights for its products in Japan.
Using APPRO's publicly documented camera and ISP technologies as configuration candidates, SLL defines the use case, connections, imaging conditions and evaluation approach. Each target device and SDK requires confirmation.
We are developing and evaluating multi-platform configurations that connect our proprietary IP with HOLONIC Edge AI.
APPRO Photoelectron is listed as Elite in NVIDIA's official Jetson partner directory. This status belongs to APPRO; it does not certify SLL, HE-1 or AIDC, or guarantee their compatibility.
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
HOLONIC Eyes / HE-1
Read the night-time field through the eyes of AI.
Visual input for monitoring, infrastructure, equipment and robotics.
Low-light full-color AI vision module
A camera product is shown against a night-time industrial setting; the lower-right label identifies HE-1 and its low-light full-color AI vision role.
HOLONIC Eyes HE-1 key specifications and integration into fixed surveillance, industrial equipment, drones, robots and Edge AI
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Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
Embedded deployment concepts
Minimum subject illuminance shown: 0.0007 lux
USB Type-C / UVC 1.5
4K / FHD / HD / VGA
Approximately 80 g
M16 fixed-focus lens: 4.0 mm / F1.0
1. Fixed surveillance camera
2. Industrial machinery / equipment
3. Drone integration
4. Robot integration
5. Edge AI computer
The five specification panels appear above five illustrated deployment options, numbered from left to right. The images show integration concepts rather than a compatibility guarantee for every depicted device.
Site note: 0.0007 lux is a reference value under our evaluation conditions. Lens, resolution, weight, interface and compatibility conditions must be confirmed for the proposed configuration; the figure does not establish AI recognition accuracy.
COMMERCIAL PROOF / AI EYE
PRODUCT / Evaluation and adoption
HOLONIC Eyes HE-1
A vision sensor available for evaluation and PoC, capturing color in darkness and low light, with potential integration into fixed surveillance, industrial equipment, drones and robots. It supports connections to PCs and similar systems via USB UVC. NVIDIA Jetson configurations are evaluated for each device and environment.
01
Ultra-low-light full color
Visual input to understand color, shape and field conditions at night and in low light.
02
Evaluate installation requirements
A vision sensor for field operation, with integration into edge devices and mobile platforms in mind.
03
An entry point to Physical AI
Applications in fixed surveillance, PTZ, drones, robots, vehicles and industrial equipment.
Image text translation
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
Providing the eyes for Edge AI
HE-1 is an AI vision module designed to provide clear, full-color video even in low-light environments.
The concept supports AI's ability to see across robots, drones, equipment and infrastructure, enabling more advanced recognition, detection and decision-making.
A recognition network sits above the computing board, surrounded by camera, drone, robot and equipment icons. The visual links the vision input to multiple Edge AI applications.
Site note: these are intended applications. Image quality and AI performance require evaluation for each subject, lighting condition and target device.
Night monitoring, situational awareness and anomaly detection for ports, coasts and vessels.
AI BRAIN / INDUSTRY
FACTORY & PLANT
Low-latency Edge AI processing for equipment monitoring, maintenance and safety checks.
AI EYE / SECURITY
SECURITY & DEFENSE
Low-light monitoring, tracking and situational awareness using multiple sensors.
AI BODY / AERIAL
DRONE OPERATIONS
Vision and field AI for inspection, search and remote operation.
AI BODY / MOBILITY
ROBOT & VEHICLE
Input infrastructure that helps mobile systems perceive their surroundings and connect decisions to actions.
SENSOR / ENVIRONMENT
AGRI & ENVIRONMENT
Continuous observation and analysis of fields, livestock, water quality, soil and environmental change.
Image quality and AI recognition accuracy are evaluated separately. Supply conditions, lead times and integration support are confirmed individually.
DATA CIRCULATION / FIVE LAYERS
Five layers of field-data circulation
Input, decisions, actions, distributed processing and learning in one operational design.
This design illustrates how field input and decisions connect to equipment or business outputs, with evaluation and improvement where needed. It does not indicate that all functions are complete or must be deployed together.
Technology layers supporting Physical AI
This concept rendering illustrates relationships between technology layers. It is not footage of hardware or evidence of a completed, validated system.
PHYSICAL WORLD / AI BODYVISION · DRONE · ROBOT · VEHICLE · SENSORDiverse machines and sensors turn the field into data
›
AI BRAINHOLONIC EDGE AIRecognize, select and decide in the field
›
DISTRIBUTED COMPUTEAI NODESProcess safely across sites
›
MEMORY & LEARNINGHOLONIC DATA CENTERStore, retrain and distribute models
01 / AI EYE
Turn unseen scenes into AI input.
SENSE THE PHYSICAL WORLD
Starting with HOLONIC Eyes HE-1, we acquire high-quality field data from visible light and other sensors.
AVAILABLE NOW02 / AI BRAIN
Recognize and decide in the field.
DECIDE AT THE EDGE
Edge AI and sensor fusion support local decisions while reducing latency and communication traffic.
PROJECT-SPECIFIC / Design and evaluation03 / AI BODY
Turn AI decisions into real-world actions.
ACT IN THE FIELD
Drones, PTZ systems, robots, vehicles and industrial equipment provide the bodies for monitoring, tracking, inspection and control.
APPLICATION DEPLOYMENT04 / AI NODES
Distribute processing across devices and sites.
DISTRIBUTE THE INTELLIGENCE
AI processing is shared across device, site and regional layers to improve availability, safety and scalability.
INFRASTRUCTURE DEVELOPMENT05 / AI MEMORY
Make field data a lasting learning resource.
LEARN AND DEPLOY AGAIN
Data is stored securely and used for retraining, with improved models distributed back to field Edge AI.
PLATFORM VISION / Future concept
Options include operation without transferring data outside the environment. Collection, learning and model distribution require customer agreement, permissions, defined purposes and safety checks. This does not mean automatic collection or unauthorized retraining.
R&D spans the whole system, covering problem definition, measurement, comparative evaluation and implementation decisions. Advisory input, research partners' assignments, SLL's project and technical responsibilities, and manufacturers' supply and technical support are distinct roles. Participation and scope are agreed with the parties concerned.
Distributed AI infrastructure connecting field decisions in HOLONIC Edge AI with learning and storage in HOLONIC DATA CENTER.
Image text translation
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
On-site hub: HOLONIC Edge AI
High-capacity processing foundation: HOLONIC DATA CENTER
Multiple data paths connect the Edge AI board on the left with the containerized data center on the right, illustrating the relationship between on-site processing and centralized computing and learning.
Site note: the original uses an emphatic phrase for processing capacity. It is a conceptual description, not a substantiated comparative performance claim; capacity is determined for each configuration.
PATENT STACK / PUBLIC IP EVIDENCE
Public IP informs technology and business design.
We introduce our granted patents, published applications and approach to their use. Markets, collaborative R&D, implementation rights and product-development conditions are considered together in technology and business design.
5 granted patents (including 1 jointly filed patent) and 1 published patent application. Other applications are in progress and will be listed after publication.The publication numbers for the 5 granted patents and 1 published application above can be checked in J-PlatPat.
HOLONIC Eyes HE-1 captures color in ultra-low light: an implemented visual entry point to Physical AI.
AVAILABLE NOW02 / SENSOR LAYER
BEYOND VISIBLE LIGHT
Millimeter-wave and environmental sensors complement conditions that cameras alone cannot capture.
PROJECT-SPECIFIC / Design and evaluation03 / FUSION LAYER
MULTIMODAL PERCEPTION
Different sensor streams are integrated over time to provide a more detailed understanding of field conditions.
PROJECT-SPECIFIC / Design and evaluation04 / DECISION LAYER
EDGE AI PERCEPTION
Local recognition, selection and decisions process only the necessary information and controls with low latency and power use.
INFRASTRUCTURE DEVELOPMENT05 / MEMORY LAYER
PHYSICAL AI DATA INFRASTRUCTURE
A proposed infrastructure for securely storing physical-world data and circulating it through learning, prediction and autonomous control.
PLATFORM VISION / Future concept
FAQ
Questions before product adoption or development.
Can we discuss a project before choosing the technology?
Yes. We review your field challenge, available data, installation environment and decision deadline, then consider the appropriate approach using AI cameras, Edge AI, drones, small AIDC or collaborative R&D.
Can we discuss product evaluation or adoption alone?
Yes. Start with the scope you need, such as an evaluation unit, product selection or integration. Not every project requires collaborative R&D or a PoC. Where feasibility conditions remain unconfirmed, we consider a minimally scoped evaluation.
Can you assess projects where video or confidential data cannot leave the environment?
We review transfer restrictions, permissions, storage and communications, then consider Edge AI, on-premises AI and closed-network configurations. Suitability is confirmed against the conditions of each project.
Can a PoC lead to a decision not to continue?
Yes. We define stopping criteria for value, technology, data and operational gates, keeping records that support decisions on further evaluation, redesign or stopping.
START WITH THE PROBLEM
From product evaluation to collaborative R&D, start where you need.
AI cameras, Edge AI, drones, robots, manufacturing AI and AIDC. Even without a chosen technology, we use your field challenge and measurable criteria to define the next decision.
