Computer Vision Market

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Question ^*

Which deployment option would you prefer for your Computer Vision solution?

1. A. On-premise (Local Server)

2. B. Cloud-based (AWS, Azure, Google Cloud)

3. C. Edge Computing (Processing on Devices)

4. D. Hybrid (Combination of Cloud & Edge)

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Question ^*

What type of visual data do you primarily work with?

1. A. Still Images

2. B. Video Feeds

3. C. Thermal Images

4. D. Medical Images (X-rays, MRIs, etc.)

5. E. Satellite or Aerial Imagery

6. F. 3D Models/Point Clouds

7. G. Other (Please Specify)

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Question ^*

What are your primary business challenges where visual data is currently underutilized or inefficiently processed?

1. A. Object Identification & Counting

2. B. Quality Inspection & Defect Detection

3. C. Security & Surveillance Monitoring

4. D. Process Automation & Optimization

5. E. Data Analytics & Reporting from Visual Data

6. F. Other (Please Specify)

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Question ^*

What aspect of Computer Vision solution is most critical for your use case?

1. A. Accuracy and Reliability

2. B. Real-time Processing Speed

3. C. Cost-effectiveness and Scalability

4. D. Integration with Existing Systems

5. E. Customization and Flexibility

6. F. Ease of Use and Deployment

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Question ^*

What are the biggest hurdles in implementing or improving Computer Vision solutions within your organization?

1. A. Lack of Internal Expertise

2. B. High Implementation Costs

3. C. Data Availability & Quality Issues

4. D. Concerns about Data Privacy & Security

5. E. Integration Challenges with Legacy Systems

6. F. Difficulty measuring ROI

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