Swiftask connects your workflows to EyePop.ai to segment your video streams automatically. Identify every visual element in real time, without heavy infrastructure.
Result:
Save hours of manual analysis and turn your video content into actionable structured data instantly.
AI Agents
eyepop.ai
Connector eyepop.ai · Secure OAuth 2.0
Processing large volumes of video to extract specific segments or data is a costly and slow process. Traditional methods require dedicated teams or complex infrastructure, limiting your responsiveness to visual events.
Main negative impacts:
High operational costs
Manual video data processing consumes valuable human resources that could focus on strategic tasks.
Latency in exploitation
The time required to manually segment and classify prevents real-time utilization of your video feeds.
Technical complexity
Deploying computer vision models often requires deep learning expertise, making these tools inaccessible to business teams.
Swiftask integrates EyePop.ai to automate video segmentation. Your AI agent processes streams, identifies objects, and triggers actions based on this data, all within an intuitive no-code interface.
BEFORE / AFTER
Traditional management
A team receives video streams. An operator must watch, segment relevant sequences, and manually extract information. It is a linear process, prone to human error, and incapable of handling live streams.
Swiftask + EyePop.ai workflow
Video streams arrive in Swiftask. EyePop.ai automatically segments every object. If a specific event is detected, Swiftask instantly triggers an alert, database update, or report, with zero intervention.
1
STEP 1 : Configure your Swiftask agent
Create your agent dedicated to video analysis in Swiftask without writing a single line of code.
2
STEP 2 : Connect sources to EyePop.ai
Link your video streams to EyePop.ai via Swiftask to activate instant segmentation capabilities.
3
STEP 3 : Define processing rules
Specify which objects or segments should trigger specific automation (e.g., recording, alert, archiving).
4
STEP 4 : Automate your actions
Let Swiftask orchestrate the rest: sending notifications, updating third-party tools, or storing structured data.
Your agent analyzes frames continuously, identifies objects with precision, and understands the spatiotemporal context of each segment.
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.
Analyze hours of video in seconds, enabling immediate responsiveness.
Eliminate human error with robust and consistent computer vision models.
Free your teams from repetitive viewing and classification tasks.
Adapt your segmentation models in a few clicks according to your evolving business needs.
Manage one stream or thousands simultaneously without increasing your operational load.
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 |
|---|---|---|
| Processing time | Several hours per stream | Real time |
| Cost per analysis | High (labor) | Optimized (AI) |
| Detection accuracy | Variable (human) | Consistent (AI) |
| Stream capacity | Limited to resources | Unlimited (cloud) |
Save hours of manual analysis and turn your video content into actionable structured data instantly.