GETTING STARTED
OCTOps connects to your current camera infrastructure, deploys baseline AI models, and begins improving through your real-world operational data with no new hardware, minimal disruption.
See it in ActionTHE DEPLOYMENT JOURNEY
Most operations teams want to know one thing before committing: what does implementation look like, and how much will it disrupt our work? Here is the full journey from first contact to a running, improving AI system.
PARTNER DIRECTORY
Generic AI models are trained on generic data. They reach a ceiling quickly. OCTOps is built differently, your real-world operational data cam continue to refine the models deployed in your specific environment. Click each step to understand what happens.
STEP 01 - DEPLOY
Baseline AI models trained on broad datasets from similar operational environments are deployed to your edge machine and assigned to your cameras. They start working immediately, but they do not yet know the specific patterns, layouts, or variations unique to your facility. That knowledge comes from the next five steps. In cases where site data can be provided ahead of deployment, our teams can use this to make an initial training pass, further boosting day accuracy.
STEP 02 - COLLECT
As OCTOps monitors your operations, the edge machine captures footage from your specific environment, your lighting, your equipment, your workers, your production rhythms. This data is exactly what baseline models lack: the edge cases and variations that only exist in your facility. All image data stays in your environment by default.
STEP 03 - ANNOTATE
Collected footage is reviewed and annotated — labelling what the AI should have or should not have detected, what it correctly identified, and what it missed. This creates a high-quality training dataset that reflects the realities of your specific operational environment rather than a generic benchmark.
STEP 04 - RETRAIN
The annotated dataset from your facility is used to retrain the AI models on the OCTOps platform. No additional proprietary software integration required. The retrained models learn from your specific conditions, your equipment types, your lighting, your worker movement patterns. The result is a model purpose-built for your environment, not just calibrated to a generic benchmark.
STEP 05 - REDEPLOY
The improved model replaces the previous version on your edge machine with no downtime and no disruption to operations. From the moment it goes live, it outperforms the previous cycle. Your team immediately benefits from higher detection accuracy and fewer false alerts cluttering the dashboard.
STEP 06 - REPEAT
The cycle restarts immediately after redeployment and can be initiated at your discretion. Each iteration produces a more accurate, more reliable model.
PARTNER CAPABILITIES
OCTOps is flexible by design. Your operations team can easily configure what matters to your environment.
Assign specific AI models to individual cameras or groups. Define zones where different rules apply, PPE required in Zone A, restricted entry in Zone B with different alert thresholds per zone.
Set confidence thresholds for each detection type, reducing false alerts. Route alerts to specific team members by site, zone, or event type via dashboard, email, or existing systems.
Configure AI models to run during production hours only, or 24/7 for safety and security use cases. Schedule different model configurations for different shifts or production modes.
Connect OCTOps to your ERP, production management system, or PLC infrastructure. Inventory counts, man-hour data, and equipment alerts feed into your existing workflows without manual data entry.
AFTER GO LIVE
OCTOps is not a deploy-and-forget system. The value compounds over time and the first 90 days establish the foundation for every improvement cycle that follows.
DAY 1-7
WEEK 2-4
MONTH 2
MONTH 3+
ONGOING SUPPORT
Unlike vendor-direct deployments where support ends at go-live, OCTOps is implemented and supported by a local team with deep software integration experience.
01
Your OCTOps deployment is managed by a local partner with regional presence not a remote vendor. They understand your operational context and are reachable during your business hours.
02
The OCTOps platform is built so you do not need an in-house data science capability to implement a model improvement cycle — annotation, retraining, and redeployment can be managed via the platform by your own teams.
03
Our integration teams can work with you to effectively integrate OCTOps with your specific PLC to ensure seamless orchestration from AI model alerts to real world production outcomes from quality assurance to safety management.
WHAT YOU NEED TO GET STARTED
Most operations already have everything OCTOps needs. Here is what is required and what is not.
Note: If your cameras do not currently have RTSP enabled, our team can help configure this as part of onboarding, it is a standard setting on most IP cameras.
OCTOps is deployed and supported by local partners, so your assessment, installation, and ongoing support all happen with someone who knows your region. Find the team closest to you.
NO LOCK-IN · COMPATIBLE WITH EXISTING CAMERAS
Object Detection
Quality Control
PPE Monitoring
Parts
Food
