AI & VIDEO ANALYTICS PRIVACY STATEMENT
Last Updated: June 2026
1. Introduction
VisionVal develops and deploys AI-powered analytics solutions that may utilize:
- Computer Vision
- Video Analytics
- Sensor Fusion
- LiDAR Analytics
- Edge Computing
- Occupancy Analytics
- People Flow Analytics
- Retail Intelligence Solutions
This statement explains the privacy principles applied to such technologies.
2. Privacy-First Design
VisionVal follows a Privacy-by-Design and Privacy-by-Default approach.
Privacy considerations are incorporated during:
- Solution design
- Development
- Deployment
- Operation
- Maintenance
3. Purpose Limitation
AI and analytics systems are deployed only for legitimate and defined business purposes such as
Retail Analytics
- Visitor counting
- Queue monitoring
- Dwell-time analysis
- Store optimization
- Shrinkage prevention support
People Flow Management
- Crowd monitoring
- Occupancy management
- Safety management
- Flow optimization
Building Intelligence
- Space utilization
- Workplace analytics
- Facility optimization
4. Data Minimization
VisionVal strives to collect and process the minimum amount of data necessary to achieve business objectives.
Where technically feasible, solutions are configured to:
- Avoid personal identification
- Minimize image retention
- Process data locally at the edge
- Reduce transmission of raw video
5. Edge Processing
Many VisionVal deployments utilize edge computing.
Benefits include:
- Reduced network traffic
- Lower latency
- Improved resilience
- Enhanced privacy protection
Where possible:
- Raw video remains local
- Only metadata is transmitted
- Analytics results are aggregated before storage
6. AI Processing Principles
VisionVal’s AI systems are designed to:
- Operate transparently
- Support human oversight
- Reduce unnecessary personal data processing
- Improve operational efficiency
- Avoid discriminatory outcomes
AI-generated outputs should not be the sole basis for decisions that significantly affect individuals.
7. Facial Recognition
VisionVal solutions do not use facial recognition for identification purposes unless explicitly requested by a customer and legally permitted.
Any such deployment requires:
- Customer authorization
- Appropriate legal basis
- Compliance assessment
- Additional privacy safeguards
8. Biometric Data
VisionVal solutions are not intended to create biometric profiles or process biometric data for identification purposes unless specifically agreed and legally permitted.
9. Sensor Fusion and LiDAR Analytics
Sensor fusion technologies may combine information from:
- Cameras
- LiDAR sensors
- IoT devices
- Environmental sensors
- Access control systems
VisionVal promotes the use of aggregated and anonymized outputs whenever possible.
LiDAR deployments typically focus on:
- Object detection
- Occupancy measurement
- Crowd density analysis
- Movement tracking
without identifying individuals.
10. Data Retention
Video, sensor, and analytics data retention periods are determined by the customer and should be limited to what is necessary for operational purposes.
VisionVal recommends implementing defined retention schedules and automatic deletion mechanisms.
11. Transparency
Customers deploying VisionVal solutions remain responsible for:
- Providing privacy notices
- Installing appropriate signage
- Informing affected individuals
- Obtaining consent where required
- Conducting Data Protection Impact Assessments (DPIAs) where applicable
12. Security
VisionVal protects data through:
- Encryption
- Secure communication channels
- Role-based access controls
- Audit logging
- Continuous monitoring
- Secure cloud and edge architectures
13. Compliance
VisionVal solutions are designed to support compliance with:
- GDPR
- UK GDPR
- Data Protection by Design requirements
- AI governance requirements
- Emerging AI regulations, including the EU AI Act where applicable
14. Contact
For questions regarding AI, analytics, privacy, or data protection:
VisionVal GmbH
Finkenweg 7
85467 Neuching
Germany
Email: privacy@visionval.eu
