GSTREAM // AUTOMOTIVE VISUAL INSPECTION
Connect camera footage to defect alerts, photo evidence, and a searchable inspection history—so your quality team can see what happened and decide what to do next.
DEMO
Follow a part through inspection, see rejected parts with photo evidence, and review the event history and rejection trends.
This demonstration uses labeled sample images to illustrate the operator workflow. Detection performance must be validated on your actual parts and camera footage.
OPERATOR VIEW
A rejected part is shown with its image, timestamp, and line reference for operator review.
The latest rejected parts remain visible, helping an operator returning to the station understand what happened.
Browse recorded inspections, filter rejected parts, and open the associated photo evidence.
See how rejection rates change over time and when repeated rejects need attention.
The demo distinguishes OK from defective parts; it does not identify specific defect subtypes.
PROCESS
01
Your quality team identifies the component, defect, and acceptance criteria, with examples of acceptable and defective parts.
02
We assess visibility, camera angle, lighting, and motion, then evaluate detection against examples confirmed by your quality team.
03
Once validated, detections can be recorded over time, with photo evidence and alerts configured around your escalation process.
Tracking the recurrence of a specific defect requires identifying that defect type. The demo's recurring-reject warning groups rejected parts together.
INTEGRATION
PROPOSED ARCHITECTURE
Daily summaries are a separate branch from recorded events. The scope of any cloud sharing is agreed during integration.
CAMERAS
Existing IP camera feeds can be connected through RTSP, using ONVIF for supported camera discovery and configuration. GMSL cameras require a dedicated integration with compatible interface hardware and drivers.
LOCAL PROCESSING
The proposed system runs video analysis locally on NVIDIA Jetson Orin hardware.
QC AND BUSINESS SYSTEMS
Events can be delivered through HTTP webhooks, made available through an API, or connected to quality management and CRM systems, depending on their available interfaces and the required workflow.
DAILY SUMMARIES
Cloud-based AI vision models can generate daily summaries from recorded event information and selected visual evidence, with the scope of cloud sharing agreed during integration.
These are solution capabilities and integration options. Live camera connections, external notifications, CRM integrations, and cloud summaries are not running inside the sample video.
Tell us which automotive component or recurring defect you want to inspect. A few example images or a short video from your line will help us assess whether the defect is visible enough to detect reliably and what is feasible with your existing cameras.
Send us a message and we'll arrange how to share your materials.