Part 15/17:
Ethical considerations are fundamental. For example, face recognition for counting purposes should respect privacy policies and minimize PI exposure. Building governance frameworks—code reviews, bias assessments, anonymization techniques—align deployments with legal and ethical standards.
Ensuring Repeatability & Standardization
To scale effectively, solutions must be repeatable:
Standardize camera calibration and data collection protocols.
Develop robust preprocessing pipelines to normalize data variability.
Use diverse, extensive datasets to ensure models generalize across environments.
Document procedures for deployment, updates, and monitoring.
Reproducibility ensures consistency across different locations and future scaling, vital for enterprise-wide success.