Webby Group’s AI Image & Video Processing solution enables businesses to harness smart computer vision to automatically analyse, classify, and extract key insights from visual media. Whether you’re in manufacturing, retail, security, media, or logistics, our platform helps you reduce manual review, increase accuracy, and unlock scalable visual intelligence—transforming raw imagery and footage into actionable business data.
We leverage state-of-the-art deep learning (CNNs, transformer-based vision models) for human-level accuracy in detecting objects, faces, events, and anomalies.
Each implementation is built to your use case (e.g., defect detection in manufacturing or product placement in e-commerce), based on your images and performance benchmarks.
Process thousands of images or hours of video per day, with auto-scaling cloud infrastructure to handle spikes in volume.
Run live video feeds through AI pipelines for instant detection (e.g., safety infractions, intruders, or queue aggregations) that trigger real-time alerts.
We support on-premise edge setups for low-latency use cases and cloud deployments for large-scale batch processing.
Explore trends in your visual data via easy-to-use dashboards—track metrics, filter by tags, and export insights to your BI tools.
Implement face obfuscation, GDPR/PDPA compliance, and secure management for sensitive content with full audit capabilities.
Our solution supports both high-resolution images and live or recorded video streams for various use cases including detection, classification, and summarisation.
Yes—our platform supports retraining via transfer learning using your imagery to ensure high accuracy in specialised contexts.
Absolutely. We offer edge and cloud inference options for sub-second detection and alerting in live environments.
Alerts can be sent via email, SMS, webhook, or connected tools like Slack, depending on your predefined triggers.
Accuracy depends on quality and quantity of training data. Clients typically achieve 90–99% detection precision after custom model tuning.
We support face obfuscation, audit trails, encrypted storage, and compliance with GDPR, PDPA, and other standards.
Yes. Exported insights feed into ERP/CRM, BI dashboards, ticketing systems, or operational tools via APIs or data export formats.
We support deployment on premises, in hybrid mode (edge + cloud), or fully in the cloud—depending on your latency, security, and cost needs.
Yes—we provide ongoing model refinement, performance monitoring, and maintenance to ensure continued accuracy and scalability.
A proof-of-concept can be live in 4–6 weeks, and full deployment (training, integration, dashboard) is usually achievable within 3–5 months.
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