Fractal initiatives in different sectors
DEFENCE Developed threat-detection engine by engaging high-precision image and Video Analytics platform that used cutting-edge deep learning techniques to process challenging video data. Launched at DefExpo 2022, the IVA-HWKI is more accurate than a human operator, and robust across a range of environment. RE-INSURANCE Using machine vision, extracted intelligence from temporal aerial imagery and provided remote assistance to one of the largest property re-insurers to settle claims.
OIL & NATURAL GAS Automated defect detection process from 3D data.
INSURANCE Through document digitization, helped insurance firms in Smart Verification of different format of documents essential to their internal processes. MANUFACTURING Supported a multinational manufacturer in automating multiple production processes and carrying out remote warehouse monitoring. Helped a manufacturing giant in defect monitoring of products in production lines.
How Fractal tackles data privacy issues
Data privacy is a big concern. The fact that the data can be reused and models repurposed is a cause of constant worry among stakeholders.
Fractal has a dedicated machine vision team focusing on efficient solution deployment. In most cases, the hardware rests with third parties. But once the data flows in, the team builds models with limited annotated data to provide state-of-art solutions. A large part of the solution is then deployed on the client’s device, followed by regular updation of the model. More and more of the solutions are being moved to the Edge to strengthen privacy further. With this technology, data can be processed closer to where it is generated. Organizations prefer solutions where a major part of data resides on their devices. Fractal has been working in federated learning for some time now, and our solutions always have an aspect of privacy preservation factored in.
Fractal Edge Fractal has a team of self-driven and
Way forward Intensifying research, advanced machine learning engineering, and progress in deep learning are fuelling the growth of machine vision. Technology is still expensive, but personalized and customized solutions can soon be a norm, enabling smaller manufacturers to afford them. The future will see manufacturers accelerate digital transformation through machine vision solutions and achieve new accuracy, efficiency, and quality levels.
enthusiastic professionals from premium Indian institutes. While freshers bring in their enthusiasm, experienced professionals bring along their domain knowledge. The machine vision team has been built over the years. Today they carry the capability of in-depth research, putting the research into production, and delivering effective solutions.
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