A drag-and-drop interface that allows users to design complete computer vision workflows by connecting pre-built processing nodes for video input, AI models, logic rules, and output actions.
Provides an integrated suite covering data management, model training, application deployment, and performance monitoring within a single, unified environment.
Enables deployment of trained AI applications to edge devices (like NVIDIA Jetson), on-premises servers, or cloud environments from the same platform interface.
Includes a library of optimized, production-ready models for common vision tasks (object detection, segmentation, pose estimation) and tools to easily train custom models on proprietary data.
A centralized dashboard that displays live video feeds with AI overlays, system performance metrics, business KPIs, and alerts generated by the deployed applications.
Offers robust APIs and built-in connectors to push AI-generated insights and alerts into existing business systems like data warehouses, BI tools, notification platforms, and industrial automation software.
Manufacturing engineers use Viso to automate visual inspection on production lines. Cameras stream video to Viso applications running models trained to identify product defects like scratches, misalignments, or missing components. When a defect is detected, the system can automatically alert line operators, divert the faulty item, and log the incident for quality analysis. This reduces human error, increases inspection speed, and provides traceable quality data.
Safety officers in construction, manufacturing, or logistics deploy Viso to monitor worksites in real-time. AI models detect if workers are wearing required personal protective equipment (PPE) such as hard hats, safety vests, or gloves. The system can trigger immediate audio-visual alerts on-site and notify supervisors via SMS or Slack if a violation occurs, helping to prevent accidents and ensure regulatory compliance without constant human supervision.
Retail managers and analysts use Viso to gain insights from in-store camera feeds. Applications count customer footfall, analyze dwell times in specific aisles, track queue lengths, and understand customer demographics (anonymized). This data is integrated into BI dashboards to optimize store layouts, staff scheduling, and marketing campaigns, ultimately aiming to improve customer experience and increase sales conversion rates.
City planners and traffic management centers deploy Viso at intersections and public venues. Applications analyze traffic flow, detect incidents like accidents or stopped vehicles, count pedestrians, and monitor crowd density. Insights are used to dynamically adjust traffic light timings, dispatch emergency services, and manage public safety during large events, contributing to more efficient urban mobility and enhanced public security.
Logistics operators implement Viso in warehouses to automate inventory tracking and process verification. Cameras monitor loading docks to read container codes, verify pallet contents against manifests, and track the movement of goods through facilities. This automates manual check-in/check-out processes, reduces inventory shrinkage, and provides real-time visibility into supply chain operations, improving accuracy and efficiency.
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