Edge Computing for Video Surveillance Market

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Question ^*

How IMPORTANT are the following features in a video surveillance solution?

1. Real-time Event Detection & Alerts

2. Reduced Bandwidth Consumption

3. Secure On-site Data Storage

4. Remote Access & Management

5. Integration with Existing Security Systems

6. Automated Reporting & Analytics

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Question ^*

What type of ANALYTICS would be MOST valuable to your business using Edge Computing for Video Surveillance?

1. Facial Recognition

2. Object Detection (e.g., people, vehicles)

3. Behavior Analysis (e.g., suspicious activity)

4. Heatmaps & Dwell Time Analysis

5. Crowd Density Estimation

6. License Plate Recognition (LPR)

7. Other (Please Specify)

8. None

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Question ^*

What's your BIGGEST concern regarding the adoption of Edge Computing for Video Surveillance?

1. Initial Investment Cost

2. Cybersecurity Risks

3. Complexity of Implementation & Maintenance

4. Integration with Existing Infrastructure

5. Lack of Internal Expertise

6. Scalability for Future Needs

7. Data Privacy Concerns

8. Not applicable

9. no concerns

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Question ^*

What's your PRIMARY objective for using video surveillance?

1. Security & Loss Prevention

2. Operational Efficiency (e.g., People Counting, Queue Management)

3. Safety Compliance & Monitoring

4. Data Analytics for Business Intelligence

5. Other (Please Specify)

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Question ^*

Which ASPECT of your CURRENT video surveillance system causes the MOST frustration?

1. Bandwidth Limitations/Network Congestion

2. High Latency/Delay in Accessing Video Feeds

3. Limited Storage Capacity

4. High Cost of Cloud Storage & Processing

5. Privacy Concerns/Data Security Risks

6. Lack of Real-time Analytics & Alerts

7. None of the above / Very Satisfied

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