27 Results (0 seconds)

Status: Awarded
Published Date: 24/01/2024
Closing Date: 22/01/2024
Value: £12,778
BE24024 - Laboratory Parts and Software Access - ***Please note that this an award notice and not a call for competition*** UK Research and Innovation had a requirement for the supply and delivery of laboratory parts for software access. This was awarded following a competitive quotation process.

Status: Awarded
Published Date: 08/09/2023
Closing Date: 01/09/2023
Value: £18,816
STA - Image presentation technology - Smartframe Licence 23/24 - Monthly payments for Smartframe technology providing; • hosting of images in cloud storage • presentation of images on Historic England websites (Find Photos, NHLE and APEX) • image protection to prevent against copyright misuse and potential loss of earnings • tracking of images enable us to report on reuse • an option for one-click purchasing or licensing • increased image reuse and sharing through social media and embedding • purchase integration and support.

Status: Closed
Published Date: 30/01/2023
Closing Date: 17/02/2023
Value: £35,000
Supply of 1 licence of HxMap software v2.5 plus additional specified tools & option for extended annual support - 1 network licence of HxMap v2.5 Software to include 1 x HxMap Workflow Manager, 1 x HxMap RawQC & 4 x HxMap Ingest to process the Aerial photography data captured using our LEICA RCD30 cameras. We also require option for ongoing annual maintenance support for up to 3 years.

Status: Closed
Published Date: 25/08/2022
Closing Date: 31/08/2022
Value: £42,600,000
Engineering & Technology Solutions Marketplace Dynamic Purchasing System - Changes from the original document 2019/S 177-431310, CTM Ref: 11627, 11628, 11629, 11630. The duration has changed to 72 months from 48. The scope has changed to cover Technology Readiness Levels (TRL) 1-9 from TRL 6-9. In addition, new categories may be added to cover business needs. Full details of the changes can be found on CTM.

Status: Closed
Published Date: 18/03/2022
Closing Date: 29/04/2022
Value: £240,000
WP3.5.2 Novel Techniques and Technologies for Incorporating Sensor Data into Digital Twins - As part of the LongOps project, it is required to develop de-risking virtual tools such as a digital-twin systems linked to a real system interacting directly with the real world. In order to maintain an accurate, up-to-date digital twin, it is necessary to sense the real environment in real-time using a variety of sensors of different types, to compile an accurate combined model of the environment virtually, and to present this information to the operator in the most effective manner. Due to the effects of radiation and other inherent qualities of sensing devices, the data retrieved is expected to be inexact. Characteristics such as noise, reliability, confidence interval, linearity, etc., may affect the estimation of the digital-twin state. UKAEA wishes to procure innovative solutions for the development of novel, cutting-edge sensor data integration and perception techniques to support the de-risking of operations using digital twins.

Status: Closed
Published Date: 18/03/2022
Closing Date: 29/04/2022
Value: £255,000
WP3.5.1 - Development of Datasets for Machine Learning - LongOps - As part of the LongOps project, it is required to develop decision support tools capable of helping de-risking operations and supporting training in teleoperated decommissioning tasks involving the detection and pose estimation of objects and debris within nuclear facilities. In recent years the use of Machine Learning (ML) techniques such as object detection, object classification, segmentation, semantic information extraction from images and videos, denoising, etc. has yielded important results in terms of visual and other sensory perception. However, this requires significant volumes of relevant, high-quality annotated data to achieve adequate levels of performance. UKAEA wishes to procure the collection, evaluation, processing, and annotation of data gathered from nuclear-related sites and/or similar scenarios. Such data consists primarily of 2D images and 3D point clouds, although other types of data such as temperature, radiation, pressure, etc. may also be considered. The annotated data will then be used to, but not limited to, train machine learning models to perform tasks such as, object detection and classification, semantic and instance segmentation, etc. In addition, this data will be used to develop, evaluate, and validate change detection and anomaly estimation algorithms.

Status: Awarded
Published Date: 09/07/2021
Closing Date: 02/06/2021
Value: £114,298
Computing eqpt for Creative Marketing dept - Lease of hardware, software and support services

Status: Awarded
Published Date: 01/07/2021
Closing Date: 06/05/2021
Value: £39,082
Board packs portal provider - Provision of an online portal for managing ExCo, Board and other committee meetings. Contract awarded following a Digital Marketplace sourcing exercise via G-Cloud 12 Framework agreement. Duration of contract is 24 months, with optional extensions of two periods of 12 months each.

Status: Awarded
Published Date: 23/06/2021
Closing Date: 09/04/2021
Value: £55,000
3D Moelling Software - This is an award notice only not a call to competition for the requirement below. We're looking to obtain the capability to extract 'As-Built' geometry features from 3D point cloud scans for the purpose of 'context capture' and 'reverse engineering' within a set context.

Status: Closed
Published Date: 19/03/2021
Closing Date: 09/04/2021
Value: £55,000
3D Moelling Software - UKAEA owns, builds and operates several fusion test devices. These are often highly complex machines which rely on lots of supporting plant systems. Even though we maintain an extensive library of 3D design models, these can often not be relied upon when planning engineering modifications or new installations. This is primarily because not all plant is modelled in 3D. Even the models that do exist cannot always be relied upon to be completely accurate. We currently rely on site surveys with cameras and manual methods such as tape measures when planning modifications. UKAEA is looking to improve on this cumbersome and error-prone methodology by exploiting 3D laser scanners, which we already own. The scanners themselves output point clouds which do not allow for easy integration with our CAD software. It is in the integration that we are looking to extend our capability. Requirements We're looking to obtain the capability to extract 'As-Built' geometry features from 3D point cloud scans for the purpose of 'context capture' and 'reverse engineering' within a set context.