Optimize your spaces with EyePop.ai footfall statistics
Swiftask integrates EyePop.ai's computer vision AI to turn your cameras into measurement tools. Get accurate data on foot traffic and visitor behavior.
Result:
Make decisions based on real data and improve the customer experience in your stores or offices.
AI Agents
eyepop.ai
Connector eyepop.ai · Secure OAuth 2.0
The lack of reliable physical footfall data
Measuring foot traffic is a major challenge. Manual methods are imprecise, while proprietary hardware solutions are often too expensive and rigid for large-scale deployment.
Main negative impacts:
Decisions based on intuition
Without precise data on peak hours, staffing or layout adjustments are ineffective.
High operational costs
Deploying dedicated sensors requires heavy investment and constant maintenance.
Siloed data
Collected information is not integrated into management tools, making analysis complex.
With Swiftask and EyePop.ai, use your existing cameras. The AI agent processes video feeds, counts entries and exits, and sends statistics directly to your business tools.
BEFORE / AFTER
What changes with Swiftask
Traditional approach
You rely on irregular manual counts or limited infrared sensors. Data arrives in outdated Excel files, days late, making any corrective action impossible.
The Swiftask + EyePop.ai advantage
Your cameras become smart. Swiftask automates the reporting of footfall data to your CRM or BI tool in real time, as soon as a visitor is detected.
Implementing your video analytics in 4 steps
1
STEP 1 : Connect EyePop.ai to Swiftask
Configure your video stream or IP camera as a source in the EyePop.ai interface, then connect the service to your Swiftask workspace.
2
STEP 2 : Define counting zones
Use EyePop.ai tools to define areas of interest (entrances, queues, specific aisles) on your video feed.
3
STEP 3 : Configure alerts and reports
Define in Swiftask the footfall thresholds that should trigger an alert or the automatic sending of a report.
4
STEP 4 : Visualize your data
Centralize your statistics in your favorite dashboards or receive automated summaries by email or Slack.
AI agent analysis capabilities
The agent continuously analyzes feeds, distinguishing individuals, tracking trajectories, and excluding duplicates for maximum accuracy.
- Target connector: The agent performs the right actions in eyepop.ai based on event context.
- Automated actions: Real-time counting, waiting time analysis, peak hour identification, daily/weekly report generation. API integration to send data to your management tools.
- Native governance: Processing is performed securely, respecting privacy standards by keeping only anonymized counting data.
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 solution
Use existing hardware
No need to invest in new sensors; your current cameras are enough.
Real-time data
React instantly to traffic fluctuations to optimize your team management.
AI precision
EyePop.ai models are trained for precise recognition even in varying lighting conditions.
Full automation
Swiftask handles data collection and distribution without human intervention.
Scalability
Add cameras to your system in a few clicks, whether you have one site or a hundred.
Privacy and data protection
Swiftask applies enterprise-grade security standards for your eyepop.ai automations.
- Source anonymization: EyePop.ai turns images into metric data without recording identifiable videos of people.
- Secure streams: All communications between your cameras, EyePop.ai, and Swiftask are encrypted.
- GDPR compliance: The solution is designed to respect privacy standards by design.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your operational performance
| Metric | Before | After |
|---|---|---|
| Counting accuracy | 80% (manual estimation) | 98%+ (AI analysis) |
| Data availability | Weekly (delayed) | Real-time |
| Deployment cost | High (dedicated hardware) | Low (software) |
Take action with eyepop.ai
Make decisions based on real data and improve the customer experience in your stores or offices.