Sevice

Services

Our Services

We provide end-to-end services—from data and model development to deployment—helping you bring AI detection into real-world environments. With measurable KPIs and verifiable deliverables, we keep projects controllable and results traceable.

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Service Overview

Three key services—clear scope and deliverables

1) AI Training for Elder Care

Falls, prolonged lying, bed-exit, wandering—built into detection capabilities that are verifiable, deployable, and maintainable.

2) Action / Vision AI for Various Sites

Event alerts and false-alarm suppression for security, factories, warehouses, campuses, and smart buildings.

3) Edge Device Planning & Deployment

Camera placement, compute sizing, network/data flow, deployment process, monitoring, and maintenance.

Service 1｜AI Training for Elder Care

High-risk events for long-term care and healthcare environments

What We Do

• Requirements & KPI definition (false positives/negatives, latency, daily alert burden, acceptance criteria)

• Data assessment (camera angles, low-light/night, occlusion, multi-person differences)

• Labeling strategy & data governance (event definitions, feedback loop, versioning)

• Model training & tuning (thresholds, temporal logic, site-specific parameter sets)

• PoC validation & report (feasibility, risks, and next-step recommendations for production)

Deliverables

• Event definitions & labeling guidelines (with examples)

• KPI table and acceptance test plan

• Training/validation report (with FP/FN analysis)

• Deployment recommendations (camera angles, night strategy, alert workflow)

Service 2｜Action / Vision AI for Various Sites

Turn video into actionable alerts

Common Detection Items

• Intrusion / loitering / line-crossing / zone entry

• Approaching restricted areas, abnormal night activity

• Crowd anomalies, gathering, abandoned objects

Deliverables

• Site configuration table (rules & parameters)

• Model/inference package or SDK (depending on engagement)

• Alert integration docs (API/Webhook)

• Go-live & operations guide (monitoring + retraining recommendations)

Service 3｜Edge Device Planning & Deployment

Architecture designed to be deployable, scalable, and maintainable

What We Do

• Camera placement planning (height/angle/coverage/occlusion risks)

• Edge compute sizing (FPS/latency/concurrent camera count)

• Network & data flow (event reporting, video retention, access control & audit)

• Deployment process (updates, version control, rollback)

• Monitoring & alerts (device health, abnormal event volume)

Deliverables

• Placement/layout recommendations (with risks & mitigations)

• Device specification sheet (recommended models/minimum requirements)

• Architecture diagram (Camera → Edge → Event → Alert/Dashboard)

• Go-live checklist

Engagement Flow

Aligned with our onboarding logic: KPI first, then deployment

1) Requirements & KPIs

Define success metrics and acceptance criteria

2) Data / Site Review

Confirm angles, lighting, constraints, and risks

3) MVD / Labeling

Minimum viable dataset and specifications

4) PoC Validation

Report, metrics, and next-step recommendations

5) Production & Operations

Deployment, monitoring, retraining, and version control

Want to confirm feasibility for your site?

In a 30-minute session, we can clarify your environment, KPIs, data conditions, and risks—then propose a PoC plan and timeline.

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Deanfone Technology Co., Ltd.

Email: jin@deanfone.com