MoJ: Check-In with your probation officer (E-Supervision)
AWS Rekognition is used within the Check-In with your probation officer service to support identity verification by performing facial comparison between user-submitted video and a photo held on file.
2.1 - Detailed description
From this submission, a still image is captured and compared against a reference image held on record. AWS Rekognition performs facial comparison and generates a similarity score indicating the likelihood that the images belong to the same individual. This output is used to support practitioners in assessing whether the correct person is completing the check-in.
The tool is intended for use by probation practitioners and service staff responsible for managing and monitoring compliance with supervision requirements. It is designed to operate as a decision-support tool and does not make autonomous decisions. Practitioners review the output alongside other available information and retain responsibility for the final determination.
The scope of the tool is limited to identity verification within the Check-In with your probation officer service. It is not used for broader surveillance, profiling, or automated enforcement decisions.
The performance of the tool may be affected by factors such as image quality, lighting conditions, and camera positioning. As with many facial recognition technologies, there may be variations in accuracy across different demographic groups. Where results are uncertain or confidence scores are low, additional checks or manual review are required."
2.2 - Benefits
The use of AWS Rekognition within the Check-In with your probation officer service supports the Ministry of Justice’s ambition to deliver more flexible, digital-first public services. It enables individuals on probation to complete check-ins remotely, providing greater accessibility and convenience while maintaining appropriate safeguards.
The tool supports practitioners by providing an additional source of information to help verify identity, contributing to more efficient and consistent decision-making. It also reduces reliance on in-person appointments, helping to optimise resource use and support service scalability.
2.3 - Previous process
Prior to the introduction of this tool, identity verification was conducted through in-person appointments or manual checks carried out by practitioners.
2.4 - Alternatives considered
A non-algorithmic alternative was considered to continue relying on in-person, face-to-face appointments for identity verification, without introducing the Check-In with your probation officer service. While this approach reduces reliance on automated tools, it is more resource-intensive, less flexible for service users, and limits the ability to deliver check-ins remotely at scale.
Algorithmic alternatives included other facial recognition and identity verification providers. These tools offer capabilities such as liveness detection and spoofing protection. AWS Rekognition was selected as it provides facial comparison capabilities, alongside features such as liveness detection and spoofing protection, and integrates effectively with existing infrastructure. It also allows similarity scoring to support human decision-making.
The chosen approach balances operational efficiency, scalability, and system integration, while maintaining practitioner oversight in final decisions.