NEWS
JAI LAUNCHES 4-CMOS PRISM BASED RGB + NIR LINE SCAN CAMERA WITH 10 GIGE INTERFACE JAI has added a second 10 GigE prism line scan camera to its Sweep+ Series. The Sweep+ SW-4000Q-10GE is equipped with four prismmounted CMOS sensors and a 10 GigE interface that also supports backwards compatibility to 5 Gbps, 2.5 Gbps, and 1 Gbps Ethernet standards.
The camera also offers a single-stream option using the RGBa8 format where the NIR data is provided via the alpha channel. In this configuration, the camera can operate at up to 73 kHz with 8-bit-per-channel output. A third output option, capable of up to 74 kHz at full 4K resolution, includes 8-bit YUV colour data on one stream combined with 8-bit or 10-bit NIR data on a second stream.
The 4-CMOS prism design simultaneously captures red, green, blue, and near infrared spectral wavebands for both high colour accuracy and multi-spectral analysis via the NIR channel. The SW-4000Q-10GE camera offers a maximum resolution of 4096 pixels (4K) per channel/line, and in combination with the 10GBASE-T interface, the camera provides RGB + NIR output at up to 72 kHz (72,000 lines per second) over dual 10 GigE streams. The dual stream configuration supports 8-bit or 10-bit output per channel.
SMART CAMERAS TO PLAY KEY ROLE IN MONITORING PILOT DROWSINESS Smart cameras are to have a key role in a new system which uses artificial intelligence to monitor pilot drowsiness The aim of the European Clean Sky project HIPNOSIS is to provide tools to evaluate pilots’ fatigue state. Coordinated by CSEM and under the guidance of Honeywell, the project will combine artificial intelligence (AI) with aeronautics expertise, contributing to the advent of next generation cockpits. Consisting of smart cameras and wearable electronics, a safety kit will enable the real-time detection of signs of drowsiness. The aim is to improve fatiguerisk management. The team behind the project cite an incident last November when an Australian pilot fell asleep while operating a passenger flight, overshooting its destination by 50 kilometers. A few months earlier, in the US, investigators
8
found that an air disaster had been narrowly avoided in San Francisco the previous year. The danger had been brought about by a pilot’s lack of sleep. Human fatigue is a serious issue affecting the safety of the traveling public in all modes of transportation said the team. Nearly 20% of the major US Transportation Safety Board investigations completed between 2001 and 2012 identified fatigue as a probable cause, contributing factor, or a finding. The HIPNOSIS consortium, led by CSEM, aims to improve the evaluation of pilot fatigue by providing innovative monitoring tools—namely, a specific vision-based system combined with a bio-physiological signal sensor. Machine learning at the service of onboard safety HIPNOSIS won the tender launched by the Clean Sky 2 Joint Undertaking, a European research program dedicated to aeronautics. Andrea Dunbar, head of Embedded Vision Systems at CSEM, said: “We will implement computer vision and machine learning algorithms in order to detect signs of drowsiness in pilots in real time.”
mvpromedia.eu
