Sandalwood plantation intruder/theft detection through Edge ML Fractal also worked with a client to provide night surveil- lance for a sandalwood plantation with a history of intruder-related issues due to the resource’s lucrative price point in India. We deployed a thermal-imaging camera mounted on a UAV, which can detect and collect emissivity and thermal sensitivity data and return the exact coordi- nates of intrusion to the security team in real time due to the rapid processing enabled by an edge ML system.
focusing on the following characteristics:
Precision object detection and identification Lightweight and faster models for real-time insights through quantization and sparsification Patented advance encryption pipeline for data security and privacy Ground activity insights through image segmentation
Improved UX through customer action identification
To enhance Fractal’s capability in platform-agnostic Video Surveillance, we have developed a Surveillance platform, “IVAHWKI” equipped with optimized and calibrated deep learning-based models capable of integrating with any environment on-prem, cloud, or edge/embedded devices.
Fractal has stayed at the forefront of the edge ML technology through advancements in its IVA solutions,
Figure 1: Fractal’s edge-optimized deep learning image and video analysis model
Mapping a future of innovation in Edge ML in Machine Vision
An MLVS ecosystem traditionally collects data on location but processes it remotely on the cloud. The challenges associated with cloud, such as latency issues, present a problem for applications that need real-time data processing and instant decision-making. Our competitors in the machine vision space use traditional setups such as cloud networking to deploy their solutions. But Fractal has leveraged edge ML to enhance our customers’ operational insights, so they achieve their critical and strategic goals effectively and efficiently. MLOps on edge devices are attempting to operationalize the AI or ML life cycle, which includes various activities, from data preparation – through model training and experiments – to testing. Fractal will continue to innovate edge ML for vision systems to empower our customers as the global scope of this technology expands to hundreds of use cases.
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