Job Description
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.
RequirementsExperience
- 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
High school diploma in Information
Systems, or a related field
