Overview
Designed to enhance your industrial operations, HCLTech VisionX is an AI-powered offering that brings real-time intelligence at the edge. It analyzes video, image and sensor data at the source, enabling real-time decision-making that reduces defects, improves quality and leads directly to smarter, faster and more efficient shopfloor operations.
Our real-time AI inferencing, for predictive maintenance and automated workflow enhancements, is accelerated by:
Features
Analyzes images, videos, audio, text and sensor data in real-time for holistic insights
The solution's advanced AI capabilities include:
- A multi-modal AI inference engine powered by computer vision AI models, as well as VLM and LLM blueprints from leading technology partners like NVIDIA and Google
- HCLTech’s IP stack AI-VMS with intelligence-driven Agentic AI workflows
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Detects unauthorized access, hazardous behavior, compliance violations and equipment failures, triggering immediate alerts
Powered by NVIDIA Metropolis VSS, Tensor RT, ML Ops, HCLTech’s AI-VMS and IoT Service Hub on Dell Native Edge OS for accelerated and efficient AI workloads
Connects seamlessly with third-party VMS and other applications using REST, MQTT APIs or API SDKs
Powered by Dell NativeEdge, it employs a zero-trust architecture and zero-touch provisioning for secure, rapid deployment and scaling
Equipped with HCLTech’s advanced cybersecurity software and secure data protocols for comprehensive protection against evolving cyber threats and state-of-the-art encryption, maintaining full compliance with global data privacy regulations
Enables streamlined application lifecycle management using Dell NativeEdge, from edge deployment to cloud-based scaling, ensuring optimal resource utilization
Value delivered
Potential reduction in resolution times through quick risk identification
Potential increase in productivity with AI-driven automation and decision making
Potential increase in worker safety with real-time AI-powered alerts
Potential increase in operational awareness with real-time AI-generated insights
Potential reduction in costs by minimal manual monitoring and operations
Potential reduction in manual labor and human error
