Swiftask connects EyePop.ai to your business tools. Turn video streams into actionable alerts and trigger corrective actions instantly.
Result:
Never miss an anomaly again. Automate your visual monitoring for increased responsiveness.
AI Agents
eyepop.ai
Connector eyepop.ai · Secure OAuth 2.0
Monitoring dozens of screens to spot anomalies is an exhausting task prone to human error. Security or quality control teams often miss critical events due to fatigue or saturation, leading to operational costs and increased risks.
Main negative impacts:
Cognitive saturation of operators
Prolonged human monitoring decreases vigilance, drastically increasing the risk of missing a real anomaly.
Delayed response to incidents
By the time an anomaly is noticed, validated, and reported, the opportunity for effective action has often passed.
High monitoring costs
Maintaining 24/7 teams for visual control represents a disproportionate human investment compared to the value generated.
By combining EyePop.ai and Swiftask, you deploy an AI agent that analyzes your video streams continuously. It detects anomalies according to your criteria and automatically triggers necessary actions in your ecosystem.
BEFORE / AFTER
Without Swiftask + EyePop.ai
An operator stares at surveillance screens. An anomaly occurs. The operator must notice it, analyze the situation, find the manager's number, call, and explain the issue. Meanwhile, the risk escalates.
With Swiftask + EyePop.ai
EyePop.ai analyzes the stream in real time. As soon as an anomaly is detected, Swiftask receives the alert, qualifies the context, and instantly sends an enriched notification to the right teams with a screenshot.
1
STEP 1 : Configure your EyePop.ai models
Define the objects or abnormal behaviors in your EyePop.ai platform to train or configure computer vision.
2
STEP 2 : Create your Swiftask agent
In Swiftask, create a dedicated monitoring agent. Configure alert thresholds and trigger conditions.
3
STEP 3 : Connect your action tools
Link your agent to Slack, Teams, email, or your CRM to receive alerts as soon as EyePop.ai detects an anomaly.
4
STEP 4 : Automate the response
Define response workflows: create a ticket, send an alert message, or log the event automatically.
Your agent analyzes the type of anomaly, the incident's location, the EyePop model confidence, and recent 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.
AI never tires and processes 100% of video streams without a drop in attention.
Go from detection to action in seconds thanks to integrated automation.
Reduce false positives through computer vision model fine-tuning.
Every detected anomaly is tracked, timestamped, and documented automatically.
Add as many cameras or streams as needed without increasing your staffing requirements.
Swiftask applies enterprise-grade security standards for your eyepop.ai automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Detection time | Several minutes (human) | Milliseconds (AI) |
| Missed anomaly rate | Variable (high) | Near 0% |
| Cost per incident | High (manual intervention) | Low (automated) |
| Deployment time | Complex IT project | Rapid no-code setup |
Never miss an anomaly again. Automate your visual monitoring for increased responsiveness.