Swiftask combines EyePop.ai's computer vision power with your business workflows. Turn your live video streams into actionable data in real-time.
Result:
Get immediate visual insights without heavy infrastructure or complex development.
AI Agents
eyepop.ai
Connector eyepop.ai · Secure OAuth 2.0
Processing live video streams manually is impossible. Traditional computer vision tools require expensive engineering teams and long deployment times. Meanwhile, critical data within your video streams remains untapped.
Main negative impacts:
Lost visual data
Valuable information passes through your streams without being detected, analyzed, or logged for future reference.
Slow reaction times
The lack of automation prevents immediate response to events visually detected in your streams.
High development costs
Building a custom computer vision solution requires months of R&D and heavy technological investments.
Swiftask connects EyePop.ai to your ecosystem. Configure agents capable of analyzing your live streams, detecting objects or behaviors, and triggering actions automatically.
BEFORE / AFTER
Traditional management
Video streams are stored without being analyzed, or monitored by human operators prone to fatigue. Critical incidents are detected too late.
Intelligent analysis with Swiftask + EyePop
The AI agent analyzes the stream continuously. Upon detecting a target event, Swiftask instantly triggers an alert or task in your management tools.
1
STEP 1 : Connect sources to EyePop.ai
Configure your video streams (IP cameras, RTMP streams) in EyePop.ai for ingestion.
2
STEP 2 : Integrate EyePop with Swiftask
Connect your EyePop instance to Swiftask via our native connector to retrieve metadata.
3
STEP 3 : Define analysis rules
Set up detection conditions in Swiftask (e.g., object presence, zone crossing).
4
STEP 4 : Automate your actions
Link the detection to an action: email notification, database update, or Slack alert.
Object detection, motion tracking, specific behavior recognition in real-time on stream feeds.
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.
Automate monitoring and analysis without constant human intervention.
AI detects complex visual patterns with consistency humans cannot maintain.
A no-code approach to integrate advanced computer vision features.
Act within milliseconds of detecting a critical event.
Add additional streams without changing your software architecture.
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 | Human (minutes/hours) | AI (milliseconds) |
| Analysis precision | Variable (fatigue) | Consistent (AI) |
| Implementation cost | Custom development | No-code configuration |
Get immediate visual insights without heavy infrastructure or complex development.