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 EVIDENCE LEVELS

Three stages of technology maturity and evidence.

We distinguish published facts and partner information from project-specific validation candidates and future concepts.

01 / PUBLIC

Publicly documented

Products, granted patents, published applications, announced partnerships and published specifications.

02 / TO VERIFY

Project validation

Candidates whose targets, environments, interfaces, accuracy and operation require PoC validation.

03 / VISION

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 conditions

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.

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.

APPRO listing on NVIDIA's official site

03 / AI VISION & MULTI-PLATFORM EDGE ECOSYSTEM

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

APPRO Photoelectron is listed as Elite in NVIDIA's official Jetson partner directory.

PATENT / EDGE AI / JAPAN MARKET INTEGRATION Standard Link logo 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.
VISION. INTELLIGENCE. AUTONOMY. LEARNING.

See. Think. Act. Learn.

  1. 01 / VISION APPRO Camera / ISP NVIDIA Jetson / Intel Imaging

    AI eyes: visual input

  2. 02 / INTELLIGENCE HOLONIC Edge AI

    AI brain: recognition and decisions

  3. 03 / AUTONOMY Robot / Vehicle / Industrial Equipment

    AI body: autonomous action

  4. 04 / LEARNING Mesh Network / Distributed AI Data Center

    Distributed intelligence, learning and model updates

04 / TWO EDGES, ONE INTELLIGENCE FABRIC

Edge systems for flight control and for understanding the physical world.

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.

HOLONIC Eyes HE-1 color night-vision camera
HOLONIC Eyes HE-1 approved product image

Image text translation

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

Object recognition, sensor fusion and integration with drone, robot and equipment control.

Discuss HE-1 evaluation
06 / AUTONOMOUS DISTRIBUTED AI

AI does not have to be centralized. Think locally and share what matters.

We are developing an autonomous distributed AI network that combines HOLONIC Edge AI and mesh communications to coordinate aircraft, cameras and sites.

  • 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
07 / DATA FLYWHEEL

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.

  1. CAPTUREHOLONIC Eyes and sensors capture field conditions
  2. UNDERSTANDEdge AI recognizes, decides and selects
  3. SHAREMesh links and distributed nodes share relevant information
  4. LEARNAI data centers integrate data and train models
  5. DEPLOYImproved models are distributed to edge devices
  6. 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.

08 / EDGE AI FOR INDUSTRIAL DX

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.

APPLICATION DEPLOYMENT
Edge AI is the brain of Physical AI and a gateway to field-level digital transformation.
Concept of low-latency multisensor integration through Edge AI for object detection, anomaly alerts, classification, real-time analysis and structured data
Edge AI integrates sensors on site for recognition, decisions and structured data

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.

09 / PUBLIC-IP ARCHITECTURE

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.

  1. Seeing in DarknessA technology layer that converts night-time and low-light conditions into visual information AI can use.
  2. Seeing Beyond Visible LightA technology layer combining sensing beyond visible light to capture otherwise unseen conditions.
  3. Multimodal Sensor FusionA technology layer integrating video and multiple sensors to establish field context.
  4. Edge AI PerceptionA technology layer for on-site recognition, decisions, tracking and relevant-data selection.
  5. Physical AI Data InfrastructureA distributed-data technology layer supporting recording, sharing, learning and model distribution.

Technology foundations based on published granted patents

10 / APPLICATION DOMAINS

One AI Architecture. Multiple Physical Domains.

One AI platform for different field environments.

Physical AI hub diagram connecting PTZ cameras, drones, autonomous vehicles and EVs through a multi-interface Edge AI platform
Physical AI hub connecting cameras, drones and vehicles to one Edge AI platform

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
11 / PARTNER ECOSYSTEM

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.

INTEGRATED SOLUTION

STANDARD LINK / HOLONIC

HOLONIC Eyes, HOLONIC Edge AI, mesh integration, distributed AI data infrastructure and IP architecture.

PUBLIC PROCUREMENT

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.

Discuss procurement
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, mesh networking or distributed AI data infrastructure.