OVERVIEW & CAPABILITIESIndustryVisionQ (IVQ)
A production-grade Vision AI platform that turns cameras into continuously learning operational systems for quality, safety, and efficiency. IndustryVisionQ enables factories to move from isolated AI experiments to structured, scalable Vision AI operations with measurable business outcomes and controlled maintenance overhead.
Capabilities
What We Offer
A production-grade Vision AI platform that turns cameras into continuously learning operational systems. IndustryVisionQ helps factories scale Vision AI reliably, delivering measurable gains in quality, safety, and efficiency with predictable operational effort.
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IVQ Base - Feasibility & Validation
Vision AI moves beyond experimentation when it is engineered for real factory conditions. Our approach focuses on building robust, deployable vision systems that deliver consistent results in live industrial environments where lighting changes, equipment vibrates, and operations never stop.
IVQ Base is the validation and feasibility layer of IndustryVisionQ, designed for teams evaluating whether Vision AI is technically and economically viable for their use case. It allows factories to test camera placement, image quality, model feasibility, and detection reliability in real operating conditions before committing to full-scale deployment.
IVQ Base includes camera setup, data ingestion, baseline model configuration, and proof-of-concept workflows to validate detection accuracy, false positive rates, lighting robustness, and integration constraints. It enables stakeholders to visualize detections, assess operational impact, and confirm whether Vision AI can reliably address the targeted quality, safety, or productivity problem.
This prevents the most common Vision AI failure mode, investing heavily before feasibility is proven. IVQ Base reduces technical risk, aligns expectations across stakeholders, and ensures that only viable use cases move into production, saving time, cost, and credibility.
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IVQ Core - Operational Vision AI
Production readiness in Vision AI requires systematic validation beyond model accuracy. We evaluate end-to-end system behavior across environmental, optical, and operational variables to ensure consistent field performance.
IVQ Core is the operational deployment layer of IndustryVisionQ, designed for factories moving beyond visibility into structured, action-driven operations powered by Vision AI. It is built for first-time adopters and pilot lines where the objective is not experimentation, but consistent daily use of Vision AI outputs in production workflows.
IVQ Core combines fixed camera setups, reliable edge and cloud data ingestion, pre-trained or custom-trained models, manual or scheduled retraining, and role-based dashboards. Detections are connected to SOPs, alerts, and workflows so operators, supervisors, and quality teams act on Vision AI outputs instead of just viewing them. Add-ons extend IVQ Core with additional use-case packs and MES or ERP integrations.
This transforms Vision AI from a dashboard into an operational system. IVQ Core improves consistency, reduces manual inspection effort, catches issues earlier, and embeds Vision AI into daily factory operations without introducing AI maintenance complexity.
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IVQ Advanced - Continuous Intelligence
Operational Vision AI requires tight integration between detection, systems, and people. We design workflows that convert visual signals into structured, repeatable factory actions.
IVQ Advanced is the intelligence and optimization layer of IndustryVisionQ, designed for factories that want to move beyond detection and control into prediction and continuous improvement. It enables continuously learning models, cross-line intelligence, and performance optimization across plants without increasing AI maintenance burden.
IVQ Advanced adds automated retraining workflows, hybrid edge–cloud learning pipelines, predictive quality signals, visual root cause analysis, and multi-plant benchmarking. It correlates visual data across defects, shifts, operators, machines, and locations to uncover hidden patterns and systemic risks. Add-ons include camera health monitoring, workflow designers, workforce analytics, and advanced MES integrations.
This turns Vision AI into a strategic operational asset. IVQ Advanced enables early failure prediction, quality drift detection, productivity optimization, and cross-factory learning, allowing organizations to improve performance continuously rather than reactively.
TECH STACK VISUALSOur Engineering Ecosystem
RNDSquare is your end-to-end RND partner, transforming bold ideas into market-ready innovations. We combine cutting-edge engineering, IoT solutions, and software expertise to design, build, and scale products that drive real-world impact.
NVIDIA provides the core GPU computing platform that powers modern AI, enabling high-performance acceleration for vision.
An edge AI platform designed for deploying computer vision and AI workloads on embedded devices in production environments.
It offers industrial-grade imaging and edge compute capabilities, enabling reliable vision data capture across industrial deployments.
Is NVIDIA’s parallel computing platform that accelerates AI and computer vision workloads by leveraging GPU processing.
It is a high-performance inference optimizer that enhances deep learning model execution by reducing latency and improving throughput.
It is NVIDIA’s streaming analytics framework that enables scalable, real-time video processing, & multi-camera analytics.
Nvidia
NVIDIA provides the core GPU computing platform that powers modern AI, enabling high-performance acceleration for vision.
Jetson
An edge AI platform designed for deploying computer vision and AI workloads on embedded devices in production environments.
Advantech AI Camera
It offers industrial-grade imaging and edge compute capabilities, enabling reliable vision data capture across industrial deployments.
Best CUDA
Is NVIDIA’s parallel computing platform that accelerates AI and computer vision workloads by leveraging GPU processing.
TensorRT
It is a high-performance inference optimizer that enhances deep learning model execution by reducing latency and improving throughput.
DeepStream ecosystem
It is NVIDIA’s streaming analytics framework that enables scalable, real-time video processing, & multi-camera analytics.
Edge AI Deployment
Accelerate
Intelligence
IVQ uses a hybrid edge-cloud architecture, running Vision AI inference at the edge while analytics and learning scale centrally for real-time, reliable factory operations.
Real-time Vision AI inference executes at the edge for inspection, safety, and process monitoring, while centralized systems support long-term intelligence across time, shifts, operators, and plants.
Industry Applications
Powering Industrial Operations with Vision AI
IVQ enables production-grade Vision AI across multiple industries by delivering reliable workflows for quality, safety, traceability, and operational intelligence.
Manufacturing
Logistics
Energy
Retail
Quality inspection, assembly verification, safety compliance, process monitoring, and workforce analytics across production lines.
Pallet counting, bin fill-level detection, material tracking, and operational monitoring across warehouses and yards.
Safety monitoring, asset inspection, compliance verification, and anomaly detection in energy and utility environments.
Inventory visibility, operational monitoring, loss prevention, and workforce behavior insights across retail environments.
Manufacturing
Quality inspection, assembly verification, safety compliance, process monitoring, and workforce analytics across production lines.
Logistics
Pallet counting, bin fill-level detection, material tracking, and operational monitoring across warehouses and yards.
Energy
Safety monitoring, asset inspection, compliance verification, and anomaly detection in energy and utility environments.
Retail
Inventory visibility, operational monitoring, loss prevention, and workforce behavior insights across retail environments.
Vision AI IntelligenceVisual Root Cause Analysis & Data Correlation
IVQ correlates visual signals across time, shifts, operators, and plants to provide deeper operational insight beyond isolated inspections. By enabling visual root cause analysis, the platform identifies recurring defect clusters and links them to operator shifts, specific workstations, or equipment conditions. This capability supports predictive factory intelligence, helping teams detect patterns early, investigate issues faster, and make data-backed operational decisions using visual evidence.
Multi-location monitoring solution for agricultural environments
Our client specializes in hydroponic farming and mushroom cultivation, managing multiple growing chambers across various locations. They required a comprehensive solution to remotely control and monitor these environments. Their primary need was to set and regulate temperature, lighting, humidity, and motor operations, along with receiving data reports for analysis.
Smart Street Light Management System
The Smart Street Light Management System is designed for smart city integrators by RND Square to optimize the operation, maintenance, and energy consumption of street lighting infrastructure. The system utilizes IoT technology for remote monitoring and control, enabling efficient energy management, real-time fault alerts, issue tracking through customer complaints, energy consumption monitoring, scheduled operation times, voltage and current fault detection.
Buoy Monitoring
We partnered with a leading marine company to enhance their buoy monitoring capabilities by designing and developing an advanced Data Acquisition Unit. This unit aimed to provide comprehensive monitoring of environmental and operational parameters, ensuring optimal performance and safety of Buoys.
