Publicly documented
Products, granted patents, published applications, announced partnerships and published specifications.
PUBLIC-EVIDENCE DISTRIBUTED PHYSICAL AI PLATFORM
Connecting AI to the physical world.
Starting with publicly documented camera input, we evaluate on-site AI recognition and equipment control for each project. Mesh communications, distributed AI, and AIDC-based learning and model redistribution are identified as concepts and validated in stages, beginning with what the project needs.
Standard Link is developing cameras, edge computers, drones, communications and distributed AI data infrastructure into a vertically integrated Physical AI architecture with intellectual property at its core.
- AI EYEAVAILABLE NOW
- EDGE AIINTEGRATION VALIDATION
- AUTONOMOUS BODYAPPLICATION DEPLOYMENT
- DISTRIBUTED DATAINFRASTRUCTURE DEVELOPMENT
Three stages of technology maturity and evidence.
We distinguish published facts and partner information from project-specific validation candidates and future concepts.
Project validation
Candidates whose targets, environments, interfaces, accuracy and operation require PoC validation.
Concept
Future directions are not described as available until implementation conditions and evidence are established.
Updated September 4, 2026. Evidence categories and test conditions are tracked in the V5 Evidence Register.
Define technology evaluation conditionsAPPRO 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.
APPRO's published manufacturer support, SLL's supply agreements, model-specific support for products such as HE-1, and our own validation are separate matters. We check the current contract scope and records for each model, OS or JetPack version and interface before defining supply, evaluation and maintenance responsibilities.
Autonomous flight and distributed operations in two real-world videos.
Standard Link has acquired exclusive sales rights for the Japanese market as a strategic partner of Sky-Drones. We deploy Sky-Drones flight-control and operational technology as a layer that enables Physical AI to act in the field.
AUTONOMOUS FLIGHT
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INTEGRATED SOLUTION
AUTONOMOUS FLIGHT
Autonomous and coordinated AI drones
Autonomous-flight technology in which multiple aircraft coordinate surveillance, search, inspection and wide-area missions.
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CLOUD OPERATIONS
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EXCLUSIVE DISTRIBUTION / JAPAN
CLOUD OPERATIONS
Unified management of distributed aircraft and data
Manage aircraft, flight information, video and missions through field-edge and cloud operations infrastructure.
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STANDARD LINK VERTICAL INTEGRATION
Vertically Integrated Physical AI Platform
Standard Link is building a unified platform that connects color night-vision cameras, Edge AI, sensor fusion, drones and robotics, and AI data centers through IP and practical implementation.
The architecture connects the eyes of HOLONIC Eyes, the brain of HOLONIC Edge AI, the nerves of SentryWave, the muscles of MDC Motor, the skeleton of Sky-Drones / Robotics, and the heart of HOLONIC DATA CENTER.
Together, these form our vision for a field-intelligence cycle of seeing, thinking, sensing and acting.
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Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
Platform vision / Standard Link vertical integration
Integrating the whole system so AI can see, think, sense and act in the real world.
Standard Link is working toward vertical integration.
With Sky-Drones / Robotics as the skeleton, the vision connects the eyes of HOLONIC Eyes, the brain of HOLONIC Edge AI, the nerves of SentryWave, the muscles of MDC Motor, the heart of HOLONIC DATA CENTER, and the soul of YAOYOROZU AI & ORBA applications through intellectual property and implementation.
Rather than placing separate technologies side by side, we aim for one Physical AI Platform in which on-site information drives decisions and actions, data informs learning, and improved intelligence returns to the field.
The left panel states the integration goal; the right panel maps each named component to a bodily role and explains the field-to-learning feedback loop.
Site note: this platform vision includes planned integration. The illustration does not certify current availability, completed integration, ownership or exclusive rights for every named component.
Physical AI across eight application areas.
A common Edge AI platform for different environments, including defense and security, drones and aerial mobility, autonomous driving, industrial robotics, infrastructure and smart cities, healthcare, energy and agriculture.
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Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
Physical AI
Perceive and understand the real world, then translate that understanding into appropriate action.
- Defense and security
- Autonomous driving and mobility
- Infrastructure and smart cities
- Energy
- Agriculture, livestock and the environment
- Medical and healthcare applications
- Industrial robotics
- Drones and aerial mobility
Eight application areas surround and connect to the central AI computing board. They represent potential uses of a shared processing foundation, not eight verified deployments.
Bringing APPRO camera and ISP technology to Japanese deployments.
We supply camera, ISP and edge-imaging products from Taiwan-based APPRO, an NVIDIA Elite Partner, under our exclusive sales rights for the Japanese market.
We consider combinations with HOLONIC Edge AI and check camera-to-NVIDIA Jetson connectivity, supply scope and site conditions individually. Stock, evaluation-unit loans, Japanese-language technical support and supply traceability depend on each project's procurement requirements and service conditions.
NVIDIA Elite Partner status applies to APPRO. NVIDIA and Jetson are trademarks of NVIDIA Corporation.
AI VISION TECHNOLOGY
CAMERA MODULE / ISP / EDGE IMAGING TECHNOLOGY
APPRO TECHNOLOGY ECOSYSTEM
We consider APPRO's published Jetson camera and ISP technology as a configuration option. Connectivity is checked for each target device and SDK.
APPRO Photoelectron is listed as Elite in NVIDIA's official Jetson partner directory.
PATENT / EDGE AI / JAPAN MARKET INTEGRATION
HOLONIC Edge AI
RECOGNITION / DECISION / PHYSICAL AI INTEGRATION
HOLONIC Edge AI
RECOGNITION / DECISION / PHYSICAL AI INTEGRATION
- STRATEGIC PARTNERSHIP
- EXCLUSIVE DISTRIBUTION IN JAPAN
- NVIDIA JETSON / INTEL EDGE IMAGING
- INTEGRATION DEVELOPMENT
APPRO supports visual input across platforms; HOLONIC Edge AI interprets that input and supports decisions in the field.
APPRO powers multi-platform visual input. HOLONIC Edge AI turns it into real-time intelligence.
See. Think. Act. Learn.
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01 / VISION
APPRO Camera / ISP
NVIDIA Jetson / Intel Imaging
AI eyes: visual input
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02 / INTELLIGENCE
HOLONIC Edge AI
AI brain: recognition and decisions
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03 / AUTONOMY
Sky-Drones / Robot / Vehicle / Industrial Equipment
AI body: autonomous action
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04 / LEARNING
Mesh Network / Distributed AI Data Center
Distributed intelligence, learning and model updates
Edge systems for flight control and for understanding the physical world.
Sky-Drones edge systems and HOLONIC Edge AI share an approach: process information on site before sending it to the cloud. Integrating these complementary forms of field intelligence supports our development of low-latency, autonomous Physical AI.
INTEGRATION VALIDATION
SKY-DRONES EDGE / FLIGHT & MISSION EDGE
On-site intelligence for flight, communications and missions.
- Autonomous flight control
- Aircraft management
- Mission execution
- Telemetry
- Video transmission
- Communications including 4G, 5G, Wi-Fi and Ethernet
- Cloud connectivity
- Inter-drone coordination
- Edge application execution
INTEGRATION VALIDATION
HOLONIC Edge AI / VISION & SENSOR EDGE
On-site intelligence for understanding images and sensors.
- Color night-vision processing
- Recognition of people, vehicles, animals and equipment
- Anomaly detection
- Object tracking
- Fusion with thermal imaging, LiDAR, radar and other sensors
- Alerts and notifications
- Selection of relevant data
- AI model updates
A shared Edge AI approach, with complementary flight-control and vision roles.
The integration method is determined after validating SDKs, operating systems, GPU / NPU, video input, power, weight and communications requirements. This does not mean that integration is already complete or that all interfaces have been verified as compatible.
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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.
AI EYE / AVAILABLE NOW
Turning darkness into full-color input AI can understand.
HOLONIC Eyes HE-1 is a high-sensitivity, low-light camera that captures color in night-time conditions where night-vision cameras are typically needed. As AI's eyes, it produces visual information for AI and serves as an Edge AI input device for fixed monitoring, PTZ systems, drones, robots, vehicles and industrial equipment.
- SEE
- Capture field conditions in color in dark and low-light environments.
- UNDERSTAND
- Provide color, contours and condition information to Edge AI.
- ACT
- Connect recognition results to drones, alerts and equipment control.
- LEARN
- Share relevant data with distributed AI infrastructure to improve models.
AVAILABLE NOW
Full-color night-time and low-light video capture with HE-1.
INTEGRATION VALIDATION
Discuss HE-1 evaluation
Object recognition, sensor fusion and integration with drone, robot and equipment control.
AI does not have to be centralized. Think locally and share what matters.
We are developing an autonomous distributed AI network that combines AIRLink, HOLONIC Edge AI and mesh communications to coordinate aircraft, cameras and sites.
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Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
Platform vision
Mesh intelligence / local decision-making / shared context
- HOLONIC Eyes
- Sky-Drones-equipped aircraft
- Fixed surveillance cameras / PTZ cameras
- Robots / vehicles
- Factory edge nodes
- Agricultural edge nodes
- Regional AI nodes
- Distributed AI data infrastructure
Four field-device groups on the left and four edge/data-infrastructure groups on the right connect to the central mesh-intelligence circle. The concept combines local decisions with shared context across nodes.
Site note: this is a platform vision, not a statement that all illustrated connections are already implemented.
- Information sharing between nodes
- Coordination between drones
- Redundant communications paths
- Continued local decisions during communications loss
- Distributing processing to nearby nodes
- Sharing detection events, locations and alerts
- Relaying relevant video and sensor data
Field data enables continuous AI improvement.
Interpret visual input on site, share and learn from only the necessary data, and return improved models to the edge.
- CAPTUREHOLONIC Eyes and sensors capture field conditions
- UNDERSTANDEdge AI recognizes, decides and selects
- SHAREMesh links and distributed nodes share relevant information
- LEARNAI data centers integrate data and train models
- DEPLOYImproved models are distributed to edge devices
- IMPROVEMeasure changes in recognition accuracy and operational value to decide whether to adopt
Use for learning, retention periods, anonymization and third-party sharing are governed by customer contracts and data governance. Customer data is not used unconditionally for our own model training.
Digitizing the physical workplace is a starting point for digital transformation.
Edge AI is both an AI processor and a gateway between the physical workplace and enterprise digital systems. Rather than simply storing video and sensor data, it converts them into usable events, states, anomalies, progress indicators and predictions.
Edge AI is the brain of Physical AI and a gateway to field-level digital transformation.
Image text translation
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.
What can be digitized
- People entering and leaving
- Vehicles and logistics
- Equipment condition
- Work progress
- Safety conditions
- Temperature changes
- Signs of anomalies
- Inventory and transport
- Crops and livestock
- Environmental conditions
Examples of potential integrations and extensions
- Dashboards
- Maintenance management
- Production management
- Security systems
- Fleet operations management
- ERP
- MES
- SCADA
- Digital twins
These are examples of potential integrations and extensions, not standard integrations already completed. Implementation is determined after checking the site environment and existing systems.
PUBLIC-IP TECHNOLOGY STACK
IP supports every layer of distributed Physical AI.
Standard Link's IP is not limited to a single camera function. It supports the Physical AI processes of seeing, detecting, integrating, deciding, tracking, recording and learning across multiple technology layers.
- Seeing in DarknessA technology layer that converts night-time and low-light conditions into visual information AI can use.
- Seeing Beyond Visible LightA technology layer combining sensing beyond visible light to capture otherwise unseen conditions.
- Multimodal Sensor FusionA technology layer integrating video and multiple sensors to establish field context.
- Edge AI PerceptionA technology layer for on-site recognition, decisions, tracking and relevant-data selection.
- Physical AI Data InfrastructureA distributed-data technology layer supporting recording, sharing, learning and model distribution.
Technology foundations based on published granted patents
One AI Architecture. Multiple Physical Domains.
One AI platform for different field environments.
Image text translation
Reference translation prepared for this website. The source image is unchanged; this is not an original or certified translation.
Edge platform: bringing sensors together as the hub of an autonomous system.
- Multi-interface board (the brain)
- PTZ smart-city infrastructure camera
- Commercial quadcopter (the original Japanese label is misspelled)
- Autonomous vehicle / electric vehicle (EV)
Three signal paths fan out from the multi-interface board on the left to a PTZ camera, a quadcopter and a vehicle on the right. They illustrate possible platform integration paths.
Site note: the broad wording in the concept diagram does not guarantee compatibility with every sensor or device. Interfaces, target devices and operating conditions must be evaluated individually.
Security & Critical Infrastructure
AI EYE + EDGE AI + DATA INFRASTRUCTURE- Night-time monitoring
- Ports and airports
- Power plants, railways and roads
- Data centers and critical facilities
Drone & Robotics
AI EYE + AI BODY + EDGE AI- Disaster search operations
- Wide-area monitoring
- Inspection and autonomous tracking
- Remote operations
Industrial AI
EDGE AI + DATA INFRASTRUCTURE- Factories and plants
- Warehouse and equipment inspection
- Predictive maintenance
- Field-level digital transformation
Agriculture & Livestock
AI EYE + SENSOR EDGE- Livestock management and night-time monitoring
- Crop conditions
- Soil and water quality
- Environmental sensing
Mobility & Smart Infrastructure
AI EYE + AI BODY + MESH- Vehicles
- Autonomous mobility
- Traffic monitoring
- Smart cities
Global Technology. One Physical AI Architecture.
We connect technologies with different roles into an integrated solution without presenting each company's strengths as a single proprietary technology.
SKY-DRONES
Autonomous-flight and operational technology for flight control, aircraft communications, mission execution, telemetry and cloud operations.
STANDARD LINK / HOLONIC
HOLONIC Eyes, HOLONIC Edge AI, mesh integration, distributed AI data infrastructure and IP architecture.
Standard Link combines Sky-Drones flight-control and operational technology with HOLONIC Eyes, HOLONIC Edge AI and distributed AI infrastructure to develop Physical AI solutions for night-time monitoring, disaster response and critical-infrastructure inspection.
For public-sector and defense procurement
Japanese procurement mechanisms, including fast-track procurement and startup technology proposal evaluations for negotiated contracts, are developing to support companies with distinctive technology. Based on published contractual relationships and manufacturer materials, we check supply conditions, domestic support and procurement eligibility case by case. Contact us below to discuss specifications or request technical information.
BUILD WITH STANDARD LINK
Bring AI vision and intelligence to your site.
Discuss the stage that fits your project: HOLONIC Eyes HE-1 evaluation, Edge AI, integration with Sky-Drones, mesh networking or distributed AI data infrastructure.