AKIHARU Scientific and Engineering

Scientific systems
for engineering
reality.

AKIHARU builds AI inspection platforms, industrial dashboards, scientific data systems, and custom digital tools shaped by real domain understanding.

Philosophy
Complex systems become useful only when they are understood, structured, and made visible.

AKIHARU builds practical systems for scientific, industrial, and educational use. We turn technical problems into clear digital tools that people can actually use.

What We Build

Four disciplines.
One scientific foundation.

Every system AKIHARU delivers starts with the problem domain, not the technology stack.

01

Scientific AI Systems

Machine learning and computer vision systems built on physical domain knowledge — engineered for precision, not approximation.

  • Electroluminescence AI inspection
  • Defect detection & classification
  • Physics-informed ML models
  • Scientific imaging pipelines
  • Research data automation
02

Industrial Systems

Operational platforms for manufacturing and facility environments — built for real workflow pressure, not demo rooms.

  • Factory inventory & tracking
  • Machine monitoring dashboards
  • Sensor data integration
  • Multi-stage approval workflows
  • Supplier & stock systems
03

Training & Knowledge Systems

Structured learning, assessment, and knowledge platforms for teams that need clear content, measurable progress, and reliable workflows.

  • Training portals
  • Assessment systems
  • Workshop registration tools
  • Learning progress dashboards
  • Knowledge base workflows
04

Digital Workflow Systems

Custom web platforms and admin tools built for how your organisation actually operates — not how a template assumes it does.

  • Business & event websites
  • Booking & appointment platforms
  • Admin dashboards & CMS
  • Internal operational tools
  • Editable content systems
Featured Systems

Production-grade systems.
Built from first principles.

Each project begins with the problem domain. The technology follows from that.

Selected projects may include collaborative, technical contribution, and independent works. They are presented to demonstrate technical experience, design capability, and project involvement. Project inclusion does not imply ownership, endorsement, affiliation, or commercial engagement unless explicitly stated.

Scientific AI SYS — 01

EL AI Inspection System for Solar Panels

An electroluminescence imaging pipeline paired with a trained defect-detection model that classifies panel faults at pixel level. Designed for in-field and laboratory environments, replacing manual inspection with systematic AI analysis.

  • EL Imaging
  • CNN Defect Classification
  • Batch Processing
  • Physics-Informed Preprocessing
  • Report Generation
Industrial SYS — 02

Factory Management and Tracking System

A full-stack operational dashboard for manufacturing facilities — covering inventory control, machine-state monitoring, supplier management, multi-stage approval workflows, and shift-level reporting.

  • Real-time Inventory
  • Machine State Monitoring
  • Multi-role Approval Flow
  • Supplier Portal
  • Shift Reports
Digital Workflow SYS — 03

Appointment Request System

Imagine a scenario where a patient-facing booking portal and clinic admin backend for managing appointment requests, scheduling, patient records, and confirmations — replacing manual coordination entirely.

  • Online Booking Flow
  • Admin Calendar
  • Patient Management
  • Notification System
  • Editable CMS
Project Experience SYS — 04

Training Portal Platform

Project experience with a structured learning and registration platform, covering programme listings, participant registration, workshop scheduling, and an admin content management layer.

  • Programme Directory
  • Registration System
  • Workshop Scheduler
  • Participant Dashboard
  • Content Management
Project Experience SYS — 05

Event Operations Platform

Project experience with an event operations platform, covering submission workflows, speaker management, programme agenda, delegate registration, and an editable admin backend.

  • Abstract Submission
  • Speaker Management
  • Registration Portal
  • Programme Agenda
  • Admin Dashboard
Scientific AI SYS — 06

Scientific Data Analysis Tools

Custom analysis pipelines and visualisation tools for engineering and research datasets — from raw sensor output to structured figures and statistical summaries.

  • Pipeline Automation
  • Statistical Analysis
  • Data Visualisation
  • Sensor Data Processing
  • Export & Reporting
Scientific AI — Deep Capability

Electroluminescence
Inspection System.

Solar panel defects are not always visible. Electroluminescence imaging captures the electrical activity of each cell under forward bias, making micro-cracks, finger interruptions, and material degradation visible as distinct luminescence patterns.

AKIHARU's EL inspection system applies convolutional neural networks trained on domain-specific EL image datasets to classify defect types with high spatial precision — enabling systematic quality assessment at the manufacturing and field deployment stages.

EL image acquisition and preprocessing
CNN-based defect classification
Micro-crack and finger interruption detection
Physics-informed feature extraction
Batch panel inspection pipeline
Structured inspection reports
EL Inspection — Active System Live CRACK · 0.94 FINGER · 0.88
Technical Leadership

Technical Leadership

AKIHARU is guided by a small technical team with backgrounds in physics, engineering systems, scientific computing, industrial inspection, and digital workflow development.

Our work combines scientific reasoning, practical engineering, and system-level design to build tools for real operational environments.

01 / Scientific AI
AI

Scientific AI and EL Inspection

Focus Area

Computer vision and analysis workflows for electroluminescence inspection, defect classification, scientific imaging, and physics-aware processing.

Scientific AI EL Inspection Computer Vision Analysis Pipelines
02 / Industrial Systems
IS

Industrial Systems and Monitoring

Focus Area

Operational systems for inventory, machine-state visibility, supplier workflows, reporting, dashboards, and practical engineering environments.

Monitoring Dashboards Workflow Logic Reporting
03 / Digital Platforms
DP

Educational and Workflow Platforms

Focus Area

Training platforms, knowledge portals, admin tools, custom content workflows, booking systems, and maintainable web applications.

EdTech Portals Workflow Systems Full-stack
How We Work

From domain to deployment.

Every AKIHARU system moves through a consistent engineering process — not just to ship, but to ship something that holds up.

01

Understand

Domain analysis, stakeholder mapping, and constraint definition before any code is written.

02

Model

System architecture, data flows, and interaction design before implementation begins.

03

Build

Structured development with human oversight at every decision point.

04

Test

System testing against real operating conditions, not synthetic benchmarks.

05

Refine

Iterative improvement informed by measurement rather than assumption.

06

Deploy

Documented, maintainable delivery. Systems you can own, not systems you are locked into.

Contact

Bring the problem.
We build the system.

Whether you need an AI inspection platform, an industrial operations system, or a precision digital tool — contact AKIHARU with the problem, not the brief.