Decision support for Security Agents at airport checkpoints
By combining state-of-the-art object recognition and real-time analysis of the security agent’s gaze, a first and fast selection of possible threats is made. From this selection, it is determined if a bag needs further inspection. Post-detection handling of baggage is then further supported through automatic annotation of possible threats. Early results point to considerable speedups in the baggage screening process, with fewer false alarms and fewer misses.
- Detects possible threats by monitoring eye-movements of security agents
- Automatically annotates these threats
- Merges the result with other image-based threat detection techniques
- Possibility to do real-time monitoring of viewing quality and alertness
- No intrusion of primary inspection process
The start-up JOA Scanning Technology was founded in 2017 as a spin-out from the Netherlands Organisation for Applied Scientific Research (TNO) and funded by participating investor JOA Ventures. Its mission is to innovate the baggage screening processes through the development of software algorithms and tools based on eye-tracking and AI technology.
JOA Scanning Technology’s approach is patent pending (Van Maanen & Brouwer, 2018), and we are actively looking for industry partners to bring our technology into operation.
Peter-Paul van Maanen
Chris te Stroet
If you have an Artificial Intelligence / Computer Science background and you are familiar with experimental data – great! We offer exciting full-time positions as well as challenging intern/graduation programs for students in our growing team of researchers and developers. You will be working on new machine learning methods to further improve our threat detection solutions.
If you are interested in joining our team, please send your application letter and resumé to firstname.lastname@example.org.