Telit Cinterion has announced the latest enhancement to its deviceWISE AI Visual Inspection platform through integration with NVIDIA TAO 6.0. This integration provides low-code AI capabilities to industrial visual inspection, allowing manufacturers to leverage prompt-based segmentation, in-context annotations, and powerful foundation models for tasks such as object pose estimation. Now, quality control teams, engineers and production managers can develop and deploy custom AI models more rapidly, identifying defects and optimising processes with greater precision across factories.
Launched in August 2023, deviceWISE AI Visual Inspection delivers a turnkey solution that allows manufacturers in automotive, pharmaceutical, healthcare, energy and other industries to and analyse visual data from their production environments. By uncovering early signs of quality control issues — whether at employee workstations, industrial robots, CNC machines, or other equipment — the platform helps teams take immediate corrective action. This proactive approach reduces rework and unplanned downtime, while boosting product quality, operational efficiency, and on-time delivery across manufacturing lines.
The integration with NVIDIA TAO 6.0 builds on this foundation by incorporating advanced annotation tools, such as prompt segmentation and in-context segmentations, which enable auto-labeling of object detection and segmentation masks using simple text prompts — like ‘missing bolt on assembly line’ or ‘coating variation on component’ — without the need for extensive training or fine-tuning. This reduces annotation costs and effort while improving accuracy for specific industrial objects. Because TAO ships containerised micro‑services with pre‑trained foundation models, it integrates into the existing deviceWISE Visual Inspection pipeline with minimal changes.
Additionally, the integration utilises foundation models, including FoundationPose for estimating object poses, alongside other models like NV-DINOv2, NV-CLIP, and GroundingDINO. These pre-trained models, fine-tuned with minimal custom data via transfer learning, support multi-modal and deliver high-performance inferencing. Deployable on a range of platforms from GPUs to Edge devices, NVIDIA TAO 6.0 ensures seamless on-premises operation, maintaining robust security for proprietary data without dependency on Cloud.
“Integrating NVIDIA TAO 6.0 into deviceWISE AI Visual Inspection empowers manufacturers to build and deploy custom AI models with unparalleled ease and speed,” said Linir Zamir, Team Lead, deviceWISE AI Development, Telit Cinterion. “deviceWISE Visual Inspection enables manufacturers to collect, transform and integrate data from any machine to any IT system, creating full applications for Industry 4.0 and digital transformation. With TAO’s low‑code auto‑labeling, pose‑estimation and multi‑modal models built in, customers get faster deployment, higher accuracy and zero custom code or specialty cameras.”
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