EVVR OS
Industrial Vision Automation Platform
Few-Shot Learning｜Multi-SKU Changeovers | User-Friendly Low Code
Offering you an end-to-end and cost-effective automation platform for industrial quality inspection.
Empower your intelligent automation with EVVR OS: leading in Few-Shot learning precision
Quality assurance: 0% miss rate, 0.5–3% false positive
Cost reduction: 90%+ lower sample and annotation costs
Operational flexibility: 70% faster changeover
Higher Throughput: 50%+ faster inspection efficiency
High-Precision Pre-Trained Model
EVVR OS delivers industrial-grade inspection accuracy with as few as 5–20 training samples. Its advanced few-shot learning models adapt quickly to multi-shapes/multi-variant products, achieving near-zero miss rates and low false positives in manufacturing environments. Reduce manual rework, stabilize quality, and deploy AI without the burden of massive data collection.
Simplified Deployment & Changeover
Designed for factory efficiency, EVVR OS can be deployed in days without requiring AI specialists. When switching to new products, there is no need for complex re-annotation or algorithm redevelopment. With its visual workflow interface and AI Copilot assistance, changeover time is reduced by up to 70%, keeping your production agile and responsive.
Stable 24/7 Inspection Performance
EVVR OS ensures consistent inspection logic across shifts, eliminating variability caused by manual fatigue. Built for long-hour, high-volume production, it increases inspection throughput by over 50% while maintaining stable detection accuracy. Every inspection result is traceable, supporting internal quality control and customer audits.
Multiple Protocols Support
Engineered for factory environments, EVVR OS integrates smoothly with existing PLCs, MES, and SCADA. Supporting protocols such as Modbus, OPC UA, MQTT, HTTP, and BACnet, it connects effortlessly to your current infrastructure without requiring architectural changes.
Secure Local Processing
Businesses retain complete ownership of data through EVVR'S on-premise deployment. Sensitive operational data stays within your secure ecosystem, ensuring data privacy and full control without cloud dependency and latency delays.
Seamless Integration & Architecture
With open APIs and SDKs, EVVR OS connects seamlessly to legacy systems, PLCs, industrial devices, and third-party platforms without requiring architectural changes. From single-line deployment to multi-site expansion, the system scales efficiently as your production grows.
Reliable AI Vision for Industrial Quality Control
EVVR OS integrates seamlessly into your existing production lines, detecting defects up to 70% earlier and improving yield by 15–25%.
Built for scalable deployment, it helps manufacturers reduce risk, accelerate response times, and turn quality control into a measurable competitive advantage.
PCB
PCB manufacturing is becoming increasingly complex, with fine-pitch components, high-density layouts, and frequent product changes challenging traditional AOI systems. Rule-based inspection often produces high false call rates and requires time-consuming manual tuning, especially in high-mix SMT environments, impacting throughput and yield stability.
EVVR OS enhances existing AOI systems with an adaptive AI-powered inspection layer for PCB defect detection and SMT quality control. By applying deep learning to identify subtle soldering defects, component misalignment, bridging, and micro-anomalies, it improves detection accuracy while significantly reducing false positives. The system integrates into current inspection workflows without disrupting production, enabling faster model adaptation and more stable yield improvement across electronics manufacturing lines.
Automotive
Automotive manufacturing demands consistent, traceable, and high-reliability inspection across safety-critical components such as automotive electronics, EV power modules, ADAS systems, and control units. As production scales across multiple lines and global facilities, maintaining stable inspection performance and preventing defect escape becomes increasingly challenging.
EVVR OS strengthens automotive quality control with an adaptive AI-powered visual inspection platform designed for complex, high-reliability production environments. By applying deep learning to detect subtle anomalies in solder joints, connectors, housings, coatings, and structural components, it improves inspection consistency while reducing false positives and operator-dependent variability. The system integrates into existing manufacturing workflows, enabling standardized inspection logic, faster product ramp-up, and more stable quality performance across automotive and EV production lines.
Battery
In 2025, global power battery installed capacity for electric vehicles reached 1,046 GWh by November, a 32.6% year-on-year surge, exceeding the 1 TWh milestone for the first time. Looking ahead, battery industry will advances toward intelligent, automated, flexible technologies for excellence in quality control from cells to packs.
EVVR OS delivers battery-specific AI innovation with the ability to address quality control challenges such as large production volumes, countless process control points and complex defect types. Its few-shot learning adapts to ternary, LFP, solid-state batteries in hours (5-10 samples), no coding needed. Tailored for battery production workflows, EVVR OS streamlines changeovers, slashes rework costs and ensures uncompromising quality standards.
Pharmaceutical &Medical
In the pharmaceutical & medical industry, manual quality checks are labor intensive and require time-consuming offline reviews. Meanwhile, traditional vision systems demand weeks of manual labeling and large annotated samples for detection.
EVVR automated vision solutions help address trained manpower shortage and maintain inspection consistency in 24/7 operation. EVVR Al vision platform leverages generalization capabilities to overcome traditional data scarcity, updating inspection parameters with minimized date collection and labeling expense. This enables manufacturers to achieve significant ROl and quickly adapt to evolving business needs, from new product launches to.changing regulatory requirements.
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Create Your Automation with Low-Code Solutions
By a clik of drag and drop, your custom automations can be realized instantly. With EVVR OS, you can easily create and test your automation workflows by setting logic, dragging and dropping components instead of writing extensive codes. EVVR OS is an agreeable option for you to fast develop workflow, simplify maintenance and reduce R&D costs.
Common Components
Start; Schedule; Decision; Function; Wait ……
IoT Components
Thing Event Updated; Thing Attribute Updated/Changed; Get/Set Thing Attribute; Wait For Thing Attribute/Event; ……
Few-Shot Learning
Instead of spending weeks collecting and labeling thousands of images, you can build a high-accuracy inspection model with as few as 20–30 sample images. Training cycles are reduced from weeks to days. When the production process changes, there’s no need for full retraining. EVVR OS supports incremental learning, allowing users to update the model with a few new samples and can learn anomaly detection using only good samples.This transforms AI inspection from a long, project‑based development effort into a fast, responsive deployment process, dramatically improving efficiency and cost effectiveness.
Flexible Product Switching
In multi-SKU, small-batch production, switching product types typically requires starting from scratch. Our built-in transfer learning engine solves this by reusing feature knowledge from pre-trained models. The new inspection workflow becomes production-ready with a small set of new product samples within days.This capability supports rapid expansion into new product categories and manufacturing scenarios, delivering unmatched flexibility and scalability for AI-driven quality control.
Text to Automation Flow
Instead of relying on complex programming or rigid rule-based setups, users can simply describe their requirements in natural language through the AI Pilot. The system parses the command, selecting camera parameters, models, thresholds and output logic for a full inspection workflow.This feature turns ideas into working automation, breaking technical barriers and making configuration intelligent, intuitive and fast.
Drag-and-Drop Creator
EVVR OS features a drag-and-drop visual editor that simplifies inspection workflow setup. You can configure modules, adjust parameters and preview results in real time without writing code.Engineers and production teams can design, deploy and fine-tune models directly on-site without requiring AI/programming expertise. EVVR OS serves as an advanced machine vision software for quality control and automation across various industrial and commercial applications. It detects and identifies misaligned parts in real time with high accuracy and prevents costly rework to boost productivity and profitability.
Advanced Visualization
EVVR OS offers interactive dashboards of real-time quality data through various real-time charts, graphs and UI elements. It enables teams to proactively identify deviations, monitor quality trends and make data-driven decisions for sustainable operations.
EVVR OS dashboards are highly customizable, allowing users to tail interfaces to specific roles and workflows. Dashboards can be assigned to specific users, ensuring that teams/individuals have appropriate access and receive relevant data.
White-label and Customized Solutions
EVVR OS supports full white-label (OEM/ODM) customization, enabling partners to brand the interface with custom logos, color schemes and tailored feature modules. Through open APIs and a flexible plugin framework, integrators can extend functionality, embed the core inspection engine into proprietary hardware or integrate it with existing MES/ERP systems.This flexibility helps users launch their own AI inspection products faster, cut development cycles and expand ecosystem while retaining full brand ownership.
Specification
Multi-platform Compatibility
Build separate Docker images for ARM and x86 architectures.
Ensure compatibility of the toolchain and libraries on both architectures.
Communication
MQTT
HTTP
P2P
Security
Encryption
Configuration for TLS/SSL support.
Authentication
Methods for user and device authentication (e.g., username/password, token-based authentication).
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FAQs
Don’t see your question answered below? Contact us today.
Can EVVR OS connect with the hardware and systems already in our production line, such as PLCs and MES systems?
Yes. On the hardware side, it is compatible with mainstream industrial cameras (e.g., Hikvision, Basler) and ring light sources. On the system side, it supports industrial protocols like Modbus, OPC UA and so on, which allows direct connection to PLCs. Meanwhile, it can upload inspection data (defect type, location, quantity) to MES systems in real time.
What makes EVVR OS different?
EVVR OS achieves higher defect detection accuracy using few-shot learning compared to competitors and solves diverse vision challenges with generalization ability.
Is it possible to customize workflows according to our specific business requirements?
Absolutely! Our platform’s drag-and-drop workflow editor can help you create customized workflows.
What kind of training and support are provided during implementation?
Based on the size and complexity of the project, our team would offer reasonable and suitable on-site training covering system operation, data analysis, and troubleshooting. Additionally, 24/7 remote support is available to ensure smooth implementation and long-term operation.
After deploying EVVR OS, how long does it usually take to recover the investment?
On average, the investment can be recovered within 6–9 months.
The key cost-saving areas include: ① Labor costs reduced by 90% (replacing 24/7 shift-based quality inspectors); ② Scrap losses reduced by 40% (intercepting bulk defective products in advance); ③ Production capacity increased by 15% (cutting changeover downtime by 80%).
Where can I download EVVR OS?
You can check with different editions to your needs via:
Can EVVR OS connect with the hardware and systems already in our production line, such as PLCs and MES systems?
Yes. On the hardware side, it is compatible with mainstream industrial cameras (e.g., Hikvision, Basler) and ring light sources. On the system side, it supports industrial protocols like Modbus, OPC UA and so on, which allows direct connection to PLCs. Meanwhile, it can upload inspection data (defect type, location, quantity) to MES systems in real time.
What makes EVVR OS different?
EVVR OS achieves higher defect detection accuracy using few-shot learning compared to competitors and solves diverse vision challenges with generalization ability.
Is it possible to customize workflows according to our specific business requirements?
Absolutely! Our platform’s drag-and-drop workflow editor can help you create customized workflows.
What kind of training and support are provided during implementation?
Based on the size and complexity of the project, our team would offer reasonable and suitable on-site training covering system operation, data analysis, and troubleshooting. Additionally, 24/7 remote support is available to ensure smooth implementation and long-term operation.
After deploying EVVR OS, how long does it usually take to recover the investment?
On average, the investment can be recovered within 6–9 months.
The key cost-saving areas include: ① Labor costs reduced by 90% (replacing 24/7 shift-based quality inspectors); ② Scrap losses reduced by 40% (intercepting bulk defective products in advance); ③ Production capacity increased by 15% (cutting changeover downtime by 80%).
The key cost-saving areas include: ① Labor costs reduced by 90% (replacing 24/7 shift-based quality inspectors); ② Scrap losses reduced by 40% (intercepting bulk defective products in advance); ③ Production capacity increased by 15% (cutting changeover downtime by 80%).
Where can I download EVVR OS?
You can check with different editions to your needs via:
High Compatibility
EVVR OS ensures compatibility with a wide range of IoT devices You can also deploy EVVR OS on existing devices via Docker for greater flexibility and integration.
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Industrial AI Vision Inspection Platform for business partners.
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