LPR - REVIEW TEAM/ PARKING SYSTEMS

The Role Brief:

The LPR Review Team is responsible for reviewing and validating the data generated by LPR/ANPR cameras, ensuring the accuracy and performance of AI systems. The team will support enforcement operations by reviewing captured data and ensuring seamless integration with AI-driven processes.

Job Purpose:

To validate and ensure the accuracy of data captured by LPR/ANPR systems and AI platforms, supporting parking enforcement operations and improving system performance through accurate data analysis.

Key Responsibilities:

• Review, analyse, and validate LPR data, ensuring the system accurately identifies vehicle license plates and records entry and exit times.
  
• Identify and address discrepancies in the LPR system, manually reviewing data to correct false positives or missed detections, improving overall system accuracy.
  
• Collaborate with the System Operations Engineers and Implementation Engineers to adjust camera configurations or AI algorithms based on performance data.
  
• Provide feedback on AI system performance, suggesting enhancements for AI readiness and error reduction.
  
• Conduct periodic reviews of the entire LPR data pipeline, ensuring timely and accurate data flow from camera systems to back-end systems.
  
• Maintain detailed logs and reports of LPR system performance, feeding this information back into the system improvement process.
  

Skills

• Strong attention to detail and data validation skills.
  
• Familiarity with LPR/ANPR systems and AI platforms.
  
• Basic understanding of machine learning concepts.
  
• Excellent teamwork and communication skills.
  
• Ability to work with large datasets and identify trends.
  

Experience

• Minimum of 2 years of experience working with LPR/ANPR systems, data review, or quality assurance.
  
• Proven ability to work in a data-driven environment and improve operational accuracy.
  

Requirements

• Education: