Trigger vision-based actions with EyePop and Swiftask
Swiftask integrates with EyePop.ai to turn your video streams into actionable data. Automatically trigger business processes as soon as an object or event is detected.
Result:
Move from passive observation to proactive automation using visual AI.
AI Agents
eyepop.ai
Connector eyepop.ai · Secure OAuth 2.0
The gap between video analysis and execution
Most companies generate massive amounts of video data, but these images remain untapped. The challenge is not just seeing, but acting. Without integration, a detection in a video triggers nothing, forcing costly human intervention.
Main negative impacts:
Limited reactivity
Anomalies or events detected via video are often handled too late by human operators.
High monitoring costs
Mobilizing staff to watch screens is a repetitive, low-value task.
Unstructured data
Visual insights are not connected to your business tools (CRM, ERP, Slack), making data unusable.
Swiftask bridges the gap between EyePop.ai and your tools. When a specific detection occurs in your video stream, Swiftask immediately executes the associated logical action.
BEFORE / AFTER
What changes with Swiftask
The manual workflow
An operator monitors a video stream. If they detect an object or state change, they must leave their screen, open another application, enter information, and validate an action. By then, the event has passed.
The Swiftask + EyePop automation
EyePop.ai analyzes the stream in real time. As soon as a criterion is met, a signal is sent to Swiftask, which instantly triggers the planned action: alert sending, database update, or process launch.
Visual automation in 4 steps
1
STEP 1 : Configure your model on EyePop.ai
Train or select a vision model capable of detecting specific objects or behaviors relevant to your business.
2
STEP 2 : Link EyePop to your Swiftask agent
Connect the video source and the model to Swiftask via a secure integration.
3
STEP 3 : Define trigger rules
Specify which visual event should trigger which action (e.g., 'if X detected, send email').
4
STEP 4 : Deployment and execution
Activate the workflow. Your agent processes EyePop data and executes tasks continuously.
Advanced vision capabilities
The agent analyzes detection metadata: object type, model confidence, spatial position, and frequency of occurrence.
- Target connector: The agent performs the right actions in eyepop.ai based on event context.
- Automated actions: Trigger webhooks, update CRM statuses, send push notifications, archive data, or control other API-compatible systems.
- Native governance: All triggered actions are logged in the Swiftask audit history.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-eyepop.ai@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Major operational benefits
24/7 Operations
Your computer vision never sleeps and never loses vigilance.
Execution speed
Reduce reaction time from minutes to milliseconds.
Scalability
Monitor hundreds of streams simultaneously without adding headcount.
Increased accuracy
AI eliminates judgment errors caused by human fatigue.
Seamless integration
Connect your cameras to any software in your current stack.
Security and privacy
Swiftask applies enterprise-grade security standards for your eyepop.ai automations.
- Secure processing: Video data is processed according to the strictest security standards.
- Data control: You maintain control over the video streams and models used in EyePop.
- Compliance: Complete audit trail of actions to meet compliance requirements.
- Robust infrastructure: Architecture designed to handle high-resolution streams without latency.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable performance
| Metric | Before | After |
|---|---|---|
| Detection-to-action delay | Minutes (manual) | Real-time (< 1s) |
| Monitoring errors | High (fatigue) | Minimal (AI) |
| Availability | Office hours | 24/7 |
| Cost per event | High (labor) | Low (automation) |
Take action with eyepop.ai
Move from passive observation to proactive automation using visual AI.