Turn video streams into structured data with EyePop.ai
Swiftask orchestrates EyePop.ai's vision AI to extract actionable insights from your videos. Convert visual assets into dynamic databases.
Result:
Stop wasting time on manual analysis. Automate visual metadata capture to boost decision-making.
AI Agents
eyepop.ai
Connector eyepop.ai · Secure OAuth 2.0
The challenge of leveraging raw video data
Companies generate massive amounts of video data, but these insights often go untapped. Manual analysis is impossible at scale, and traditional solutions are too complex to implement.
Main negative impacts:
Lost strategic insights
Valuable information hidden in your video streams is ignored, limiting your understanding of operations or market trends.
High processing costs
Mobilizing teams to watch and classify videos manually is a financial drain and an operational productivity loss.
Visual data silos
Manually extracted data is rarely standardized, preventing effective integration into your core business tools (CRM, ERP).
Swiftask connects EyePop.ai to your workflows to automatically extract structured data (objects, text, actions) from any video stream in real time.
BEFORE / AFTER
What changes with Swiftask
Before automation
A team must analyze hours of surveillance or production footage. They manually log events into a spreadsheet. The information is obsolete before it is entered, and the risk of human error is high.
With Swiftask + EyePop.ai
As soon as a video is processed by EyePop.ai, Swiftask captures the extracted metadata and sends it automatically to your tools. You have a structured data dashboard updated instantly.
4 steps to structure your video data
1
STEP 1 : Configure your EyePop.ai model
Define the entities to extract in EyePop.ai (e.g., object detection, license plate reading, action recognition).
2
STEP 2 : Create a connection in Swiftask
Connect your EyePop.ai instance to Swiftask to centralize your visual data streams.
3
STEP 3 : Define data destination
Choose where to send the extracted data: a CRM, a database, or a Slack/Teams alert.
4
STEP 4 : Launch and automate
Activate the workflow. Your data is automatically extracted and structured upon receipt of a new video stream.
Advanced extraction capabilities
Real-time analysis of video streams, identification of complex objects, and conversion into structured JSON formats.
- Target connector: The agent performs the right actions in eyepop.ai based on event context.
- Automated actions: Metadata extraction, automatic classification, trigger actions based on detected content, structured archiving.
- Native governance: Data is immediately ready for reporting or machine learning applications.
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.
Why choose this technological duo
Limitless scalability
Process thousands of video streams simultaneously without increasing headcount.
Increased precision
EyePop.ai's AI eliminates errors caused by human fatigue.
Seamless integration
Swiftask bridges the gap between EyePop.ai and your existing software stack.
Drastic cost reduction
Reduce the operational cost of video analysis by tenfold.
Fast time-to-insight
Go from raw video to actionable insight in seconds.
Security and compliance
Swiftask applies enterprise-grade security standards for your eyepop.ai automations.
- Secure processing: Video streams are processed via encrypted connections between EyePop.ai and Swiftask.
- Data governance: Maintain full control over extracted data and its final destination.
- GDPR compliance: Processes meet strict privacy standards for sensitive video data.
- Auditability: Every extraction is logged to ensure process transparency.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Automation performance
| Metric | Before | After |
|---|---|---|
| Extraction time | Several hours | Real time |
| Data accuracy | Variable (human) | Constant (AI) |
| Processing volume | Limited by team | Unlimited |
| Cost per analysis | High | Minimal |
Take action with eyepop.ai
Stop wasting time on manual analysis. Automate visual metadata capture to boost decision-making.