CNXN Helix Presents Vision Ai

VISION AI

Turn existing cameras into real-time operational intelligence.

Vision AI detects risks, improves safety, streamlines operations, and uncovers insights from the physical environments you already operate every day — without rip-and-replace, and without multi-quarter rollouts.

2–3 days

POV deployment in your real environment

6 weeks

From discovery to production deployment

50%

Reduction in inspection costs with Vision AI

key industry
verticals

What sets us apart

How Vision AI ships

Vision AI is a delivery model, not a research project. Everyengagement is built on these four principles — from the first conversation tolong-term production operations.

Built on existing infrastructure

Vision AI deploys on the IP cameras, NVRs, VMS platforms, and networks you already operate. No rip and replace. No multi-quarter forklift upgrade.

Paid proof of value

Every engagement starts with a paid POV that ships in 2–3 days. Prove the outcome in your real environment before you scale across sites.

Legal & ethical AI

Governance, compliance, and responsible AI practices are built into every Vision AI engagement — not treated as an afterthought once cameras are live in production.

Outcome-tied engagements

Every Vision AI initiative is mapped to a specific business outcome — falls prevented, defects caught, equipment located, incidents detected — and measured against your KPIs.

THE VISION AI ADVANTAGE

Where AI initiatives ship

From cameras to outcomes, Vision AI removes the execution gaps that stall most AI programs — so your initiative moves forward with clarity, infrastructure, and momentum.

Strategy that drives execution

End-to-end ownership — from executive alignment and use case selection through model training, deployment, and ongoing managed operations.

Infrastructure built for Vision AI

40+ years of hardware and software expertise combined with enterprise-grade edge-to-data-center capabilities — designed for the throughput, latency, and reliability Vision AI workloads demand.

Pilots that reach production

A proven methodology moves Vision AI from a paid POV through full-site rollout — with governance, compliance, and responsible AI practices built into every phase.

WHAT WE DO

End-to-End AI services

Delivered as a managed lifecycle — from use case selection through cameras, models, and managed operations.

Advisory & strategy

Identify and prioritize use cases aligned to your business goals. Our experts map cameras to real outcomes — safety, quality, operations, security — and bridge IT and business leadership with workshops, roadmaps, and readiness frameworks.

Use Case Selection

Roadmap

Workshops

Camera & Infrastructure Design

Camera audit, placement design, network and edge architecture, and integration with your existing VMS/NVR platforms. We work with what you have, and we specify what you need.

Camera Audit

Edge Design

Networking

AI-ready infrastructure

Enterprise-grade edge-to-data-center infrastructure built for Vision AI workloads — designed for the throughput, latency, and reliability production deployments demand.

Edge

Cloud

Hybrid

GPU

Modeling, training & inference

Design, train, and optimize Vision AI models for your environment — fall detection, PPE compliance, defect detection, threat detection, asset tracking, and beyond. Rigorous QA ensures production-grade reliability.

Vision AI

Computer Vision

Fine-Tuning

Outcome acceleration

Connect Vision AI alerts to live business workflows. Route incident detections to security teams. Send PPE violations to safety managers. Trigger equipment-recovery tickets automatically. Turn detections into action.

Automation

Workflow Integration

MLOps & managed support

Keep Vision AI models running, learning, and improving. Ongoing monitoring, retraining, drift management, and managed support ensure your investment continues to deliver measurable value across the camera fleet.

Monitoring

Retraining

Managed AI

INDUSTRIES WE SERVE

Deep domain expertise

Our fit is driven by organizational readiness and mandate, not sector. Vision AI is proven across six key industries where camera infrastructure and operational outcomes intersect.