Mitchell | January 27, 2021
Mitchell has announced the addition of Tractable's AI to the Mitchell Intelligent Open Platform (MIOP), which will allow North American automotive insurers to use Mitchell's advanced claims automation solution—Mitchell Intelligent Estimating with Tractable's AI technology.
The company has been known as a leading provider of technology, connectivity, and information solutions to the Property & Casualty (P&C) claim and Collision Repair industries. Mitchell International, Inc is headquartered in San Diego, Calif. It delivers smart technology solutions and services to collision repair, auto insurance, disability, and workers' compensation through advanced technology such as artificial intelligence, extended reality, and cloud-based solutions.
Mitchell processes tens of millions of transactions for more than 300 insurance providers, 20,000 collision repair facilities, and 70,000 pharmacies each month. Its comprehensive solution and service portfolio empowers clients to help in their field. With this approach, insurers find the flexibility to incorporate AI technology to fulfill unique workflow requirements every day. The solutions are being created to accelerate the accident recovery process initiated by Tractable. With this, insurers will now have access to the best repair estimates through AI. This collaboration has brought a new alternative to the automation industry.
With the first claims automation solution having a flexible and end-to-end framework, Mitchell Intelligent Estimating leverages the MIOP platform of AI computer vision providers, cloud-based technology, and Mitchell's intellectual property and data to produce a partial or complete estimate. In this process, photos of damaged vehicles can be captured easily. The Vehicle Identification Number (VIN) configuration can be determined instantly. The entire process will speed the claim process and help insurance carriers and collision repairers deliver improved customer outcomes.
MIOP is a crucial component of Mitchell Intelligent Estimating. Its open and flexible approach to claim automation is also highly beneficial. The collaboration with Tractable and incorporating its best-in-class AI engine into Mitchell Intelligent Estimating will provide customers advanced solutions, which will endeavor the future.
MTC Robotics Engineers | March 08, 2021
Automation experts at The Manufacturing Technology Centre (MTC) were in the news for making the latest through. They made robotics that can handle objects without CAD data or designed grasps to enable faster deployment of robotic solutions.
Mark Robson, Senior Research Engineer, Robotics, MTC, on the latest breakthrough, mentioned that the project demonstrates MTC’s determination to adopt academic developments with the potential to transform robotics in manufacturing. The technique aims to pick new objects and allow MTC to test with customer parts, and advise on implementation strategies quickly.
About the Project
The MTC has demonstrated its ‘state of the art’ technique for bin picking to reduce costs and time. Bin picking is being stated as a common handling task in industries. It is a task in which a single object needs to be separated from an unstructured bulk input. The robotic technique uses a trained model to find the best position to place a vacuum cup. It can also be trained with simulated data to reduce the need for labor-intensive manual data collection and labeling.
With traditional methods, factories use CAD data to identify individual parts accurately and test a range of pre-engineered grasps for feasibility. On this, Dr. Alejandra Matamoros, Technology Manager, MTC, added that MTC Robotics Engineers have proved that design and development can be dematerialized to create cost-efficient intelligent solutions. This will happen to automate operations where predetermined programming is less viable.
The project has been tested by MTC, keeping a range of objects which includes fruit, metal components, and cosmetics containers. The technique performed well with 92% and 94% successful picking, respectively, after being trained with manually labeled data and simulated data.
In the end, MTC ended by saying that the performance of the model trained on purely simulated data showed up as an excellent solution to reduce the burden of data gathering for specific use cases.
Burloak Technologies, Samuel, MDA | June 26, 2020
Burloak Technologies, a division of Samuel, Son & Co., Limited, and MDA today announced a five-year agreement to partner for additively manufactured parts and components for space-bound satellite antenna applications.
Under the terms of this agreement, Burloak and MDA will collaborate to optimize the design and manufacturability of a range of antenna technologies. The joint efforts accomplished to date by MDA and Burloak have led to an increased acceptance of additively manufactured parts for the harsh space environment, an outcome that is expected to yield significant benefits to both partners.
"With challenging technological needs, it's important that we find the right partner to help us fully leverage the potential of additive manufacturing for space applications. We're confident Burloak Technologies is the ideal supplier to continue supporting our efforts," said Mike Greenley, Chief Executive Officer of MDA. "This collaboration is a perfect example of partnerships that MDA develops under its LaunchPad program."