Platform Film
One platform. Every edge.
Deploy, manage and scale industrial AI across operations — from the robot cell to the control room.
Demo Library
Four demos, four industries.
xArm Robotics Demo — Vision-guided control powered by edge AI
This demo connects camera input, object recognition and xArm motion control into a real-time robotics workflow — from visual recognition to precise robotic action.
- Vision input captures the workspace
- Object recognition identifies and locates target parts
- Edge AI inference analyzes visual data in real time
- Robot control turns understanding into precise movement
Smart Factory Vision Demo — Edge AI vision inspection dashboard
Factory image data moves from inspection to dashboard-based monitoring, helping teams review production status and inspection results more clearly.
- Vision-based inspection of product conditions
- Edge inferencing close to the machine
- Process monitoring across the line
- Dashboard analytics: charts, metrics, insights
AI Safety Monitoring Demo — Detect unsafe conditions in real time
ONE AI analyzes worksite camera data to identify safety-critical situations and support faster on-site response — without relying on cloud-based operation.
- Worksite visual awareness from camera data
- Monitoring of workers, equipment and work zones
- On-site alert support via dashboards or visual alerts
- Edge-based operation on existing infrastructure
Medical Assistant Demo — From EMR records to structured clinical notes
Patient information, voice input and AI-assisted documentation are connected to support more efficient medical workflows.
- EMR-based review of patient context
- Voice input capture for consultations
- AI-generated structured draft notes
- On-premise processing of sensitive data
Validation Scenes · Smart Factory
Inside the inspection workflow.
Screen recordings from the smart-factory validation: production-line images are captured, labeled, used to train inspection models, inferred at the edge and monitored on the dashboard.
Workflow overview
From production-line data to AI-driven insight.
Annotate & train
Label product images and train inspection models.
Monitor
Review inspection results and production trends.
Edge inference · scene 1
Running edge AI models on production-line images.
Edge inference · scene 2
Inspection results streamed to monitoring.
Track Record
Validated results from the field.
Battery defect-detection AI with vision inspection and edge inference, delivered by the founding team while at Intel.
Learning time with Axis.LOOP active learning; in some cases 30 days → 1 hour.
Autonomous-driving product demos developed for Intel Automotive and showcased at CES.
Battery inspection, marine autonomy, AI security cameras, kiosks, medical devices and security edge AI.
Results reflect projects reported by ONE AI. Projects marked “at Intel” were delivered by the founding team during their tenure at Intel.
Request a site-specific demonstration.
ONE AI delivers demonstrations tailored to your industrial requirements. Contact HeartCore to arrange one.
Information about ONE AI Co., Ltd., the Axis.ONE platform, demo videos and related performance figures is provided by ONE AI and has not been independently verified by HeartCore Enterprises, Inc. Performance figures describe results reported by ONE AI and may vary by site and use case. Product and company names are trademarks of their respective owners. This page is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any securities.