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Development and deployment of nuclear instruments and systems for special application, customized front-end electronics, high throughput data acquisition systems and software for major thrust areas of Reactor Instrumentation, plant wide Radiation Monitoring, Radiometry, High Energy Physics Research, Ultrasonic Imaging and Biomedical Investigations. Significant efforts are underway for R&D and technology development towards indigenization and performance improvement in these areas, namely for the development of Gas filled and Silicon based Radiation detectors and Application Specific Integrated Circuits (ASICs). There is extensive experience in software development for solving complex problems with new technologies, specifically in the development of domain specific frameworks as core technology. The technologies developed are transferred to industry for manufacturing and deployment, wherever applicable. Full life cycle support is provided from concept to commissioning with adequate documentation, training and life time support solutions.



A gamma ray telescope named as MACE (Major Atmospheric Cherenkov Experiment) telescope is set up at the high altitude astronomical site at Hanle (32.7N, 78.9E, 4200 m asl) in the Ladakh region of North India for exploring the gamma-ray sky at energies down to 20 GeV . DAPS section has designed and developed the 1088 PMT based imaging camera for MACE Telescope. The entire camera electronics is mounted on the camera with only the power and communication cables connected to ground station. The instrumentation has been custom designed with innovative techniques to achieve low power, small size, light weight and high performance in terms of low noise, high bandwidth and high event rates.


X-Ray baggage Inspection system provides enhanced and reliable screening at critical points-of-entry, using the penetrating power and material discrimination capability of dual energy X-Ray. The material discrimination algorithm is based on behavior of low to high Z materials like Perspex, Aluminium and Steel for X-Rays of different energies. The algorithm has been verified to meet the X-Ray Image Quality Index of Wire resolution, Horizontal and vertical Spatial resolution, Penetration, Contrast Sensitivity and Thin metal imaging for X-Ray baggage scanner. User authentication is provided, along with Maintenance mode for easy troubleshooting and Operating System access control for inadvertent user access prevention. Automated Threat Detection feature has been developed using deep learning and it has been integrated with X-Ray baggage scanner software.


Technologies Developed

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