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AI Frame Grabber

AI Frame Grabber 4P
Next-generation frame grabber cards, providing you an integrated "image acquisition + AI inspection" solution in a single card.
Upgrade/supplement existing CPU-based vision systems for higher detection accuracy and enhanced flexibility on the production line.

$1,799.00 USD

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High Usability & Accessible AI Adoption

AI Frame Grabber enables industrial users to quickly build, deploy and optimize multi-camera inspection systems for automated defect detection and quality assessment. With simple setup and intuitive tools, it lowers the barrier to AI adoption and make advanced vision capabilities easily accessible.

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All-in-One Integrated Design

Seamlessly integrates hardware and software with built-in NPU, high-speed PoE+ ports and EVVR OS, supporting full-process local AI vision workflows. Reduces data transmission by 70%, CPU load by 80%, and keeps AI inference latency under 50ms.

Plug-and-Play Compatibility

Works seamlessly with Windows and Linux, enabling AI upgrades for existing machine vision systems without hardware replacement—ideal for intelligent production line transformation.

Accessible AI, Rapid Deployment

EVVR OS offers low-code/no-code vision tools and built-in pre-trained models, enabling fast AI capability integration without coding skills—cutting multi-camera system deployment from months to weeks.

Smarter Manufacturing with AI Frame Grabber

Combining cutting-edge AI and seamless integration, AI Frame Grabber transforms traditional visual inspection into intelligent, adaptive quality control. It empowers diverse industries with automated, high-precision defect detection of missing, misplaced or mixed components, ensuring reliable defect identification even in complex and fast-changing production environments.

PCB


Traditional PCB inspection struggles to meet modern quality standards in accuracy and flexibility. Manual checks and rule-based machine vision often exceeds 5% in detection errors and 3% in missed defects. Moreover, traditional machine vision fails in frequent PCB design changes and struggles with complex defects.

AI Frame Grabber delivers a transformative multi-camera AI platform with end-to-end local processing and advanced deep learning algorithms. It boosts defect detection accuracy to over 99% and sharply reducing missed defects and false positives. Adaptive model management enables rapid setup and seamless adjustment to design changes(small batches or high-mix production environments), with no extensive reprogramming required.

With intuitive low-code tools and robust edge computing, AI Frame Grabber streamlines the entire quality control workflow, reduces inspection cycle by up to 50% and minimizes reliance on skilled manual inspectors. This ensures higher product quality, better yield and a more agile, future-ready PCB production line.


Automotive


Modern automotive production is becoming a network of complex, high‑mix operations. Traditional rule-based inspection systems cannot keep up with frequent model switches, complex assembly variations and the fast pace of smart factories.

With AI  Frame Grabber, quality inspection becomes adaptive and effortless. The system’s built‑in deep‑learning intelligence recognizes new parts and assembly patterns without lengthy reprogramming, enabling fast changeover across models and workstations. Multi‑camera synchronization and real‑time edge processing give operators instant visibility into every station, allowing issues to be timely corrected.

It empowers rapid deployment, effortless model switching and over  99%  defect detection accuracy. With AI-driven intelligence at the source, manufacturers eliminate rework and delays, reduce human dependency and achieve over 99% detection accuracy across all assembly line with fewer stops and higher throughput.






Battery


As the core hardware of “Vision + AI” inspection, AI frame grabber delivers three essential capabilities: high‑speed data acquisition, on‑device AI inference and multimodal fusion. EVVR’s AI inspection solution for power‑battery manufacturing covers the entire process from electrode and cell production to module and PACK assembly, supporting multiple battery formats while solving key quality‑control challenges such as large‑scale throughput, numerous process checkpoints and diverse defect types.

Supporting synchronized multi‑camera acquisition, it boosts detection efficiency and simplifies system architecture, replacing bulky multi‑device setups and reducing system costs by up to 40% with easier maintenance. With on‑device AI acceleration, defect identification and classification are executed directly at the capture end, achieving real‑time acquisition, judgment and feedback while cutting production downtime by as much as 90%.

The solution supports inspection of battery modules for various vehicle models and specifications. Through rapid AI model adaptation (only days of training required for new model introduction), no reprogramming or hardware adjustments are needed. This solves the problems of slow production changeover and difficult adaptation in traditional vision systems, meeting the needs of small-batch and multi-variety production.

EVVR AI-powered Inspection Solutions

Integrating AI inference, PoE power supply and industrial-grade design, EVVR delivers you a cost-effective plug-and-play upgrade solution for traditional machine vision systems.

Lower Hardware Costs

Unlike conventional “frame grabber + CPU” solutions, EVVR unifies edge computing and image acquisition in a single card, reducing hardware costs by up to 40%. It is ideal for AI transformation across production lines in diverse industries.

Simplified Wiring

Equipped with 4×2.5 GbE PoE+ ports, it directly powers industrial devices, eliminating redundant cables. This cuts 80% of power wiring, reduces installation time by 50%, and minimizes wiring-related faults.

Higher Detection Precision

AI-powered deep learning achieves a 99.5% defect recognition rate and <0.1% false positive rate. Unlike traditional cards limited by rule-based detection and high miss rates for complex defects, EVVR’s built-in pre-trained models deliver reliable, automated quality control for advanced manufacturing needs.

Faster Adaptability

When products change, traditional algorithms need to be rewritten, with an adaptation cycle of 1-2 months. AI Frame Grabber enables fast and low-threshold adjustment through "model reuse + low-code operation". Only few new samples are needed to fine-tune pre-trained models via a drag-and-drop creator. (no professional algorithm skills required). Adaptation cycle is reduced to 1-3 days during product changes.

Seamless Scalability

Single-card multi-camera support (4×2.5 GbE, 10 Gbps bandwidth) ensures reliable high-throughput image acquisition. Compatible with both new and old frame grabber (no need to replace existing equipment), lowering hardware expansion costs by 60%; Additionally, standard APIs and SDKs are provided for secondary development to scale as businesses grow.

Specification

AI Frame Grabber 4P-E delivers powerful AI-driven multi-camera inspection with seamless integration, improving detection accuracy and quality control efficiency for diverse industrial automation applications.

Deployment I/O Interface

Bus Interface

PCIe x4 Physical Interface
Link Speed: PCIe 2.0 x1 LaneLinux 3.10

PoE

4x IEEE 802.3at PoE+
Max 25.5W per port
Total 50W power budget for 4 ports

Ethernet

4x 2.5G Ethernet ports

Serial Port

1x RS-232 port
1x RS-485 port
1x CAN BUS Interface

Ethernet port

1x Gigabit Ethernet

USB

1x USB 2.0 port
1x USB-C (OTG)

Video Port

1x DisplayPort

DC Input

12V DC power input

Mechanical

Form Factor

PCI Express card

Dimension

227.7 mm (W) x 111 mm (H)

Weight

TBD

Environmental

Operating Temperature

-45°C to 85°C

Storage Temperature

-40°C ~85°C

Humidity

10% to 90%RHNC

Support


FAQs

Don’t see your question answered below? Contact us today.

How difficult is the installation and initial setup for AI Frame Grabber on my existing production line?

Installation is plug-and-play and typically completed within hours. With intuitive workflow tools and built-in drivers, most users can get the system running quickly without extensive retraining or line downtime.

Does it support integration with my MES, ERP, or quality management systems?

Yes. Standard APIs and SDKs enable smooth integration with most factory IT, MES, ERP, and QMS platforms, allowing real-time data exchange and traceability.

How do I manage and label samples for new inspection tasks?

The platform includes built-in sample management tools that help organize, label, and prepare new datasets. Pre-trained models further reduce the workload for new product deployment.

How can I evaluate ROI and cost savings with AI Vision Grabbers?

By reducing hardware investment by up to 40%, minimizing wiring, and cutting adaptation time from months to days, users see rapid returns. Most customers report payback within 6–12 months through higher yield and lower labor and maintenance costs.

How difficult is the installation and initial setup for AI Frame Grabber on my existing production line?

Installation is plug-and-play and typically completed within hours. With intuitive workflow tools and built-in drivers, most users can get the system running quickly without extensive retraining or line downtime.

Does it support integration with my MES, ERP, or quality management systems?

Yes. Standard APIs and SDKs enable smooth integration with most factory IT, MES, ERP, and QMS platforms, allowing real-time data exchange and traceability.

How do I manage and label samples for new inspection tasks?

The platform includes built-in sample management tools that help organize, label, and prepare new datasets. Pre-trained models further reduce the workload for new product deployment.

How can I evaluate ROI and cost savings with AI Vision Grabbers?

By reducing hardware investment by up to 40%, minimizing wiring, and cutting adaptation time from months to days, users see rapid returns. Most customers report payback within 6–12 months through higher yield and lower labor and maintenance costs.

High Compatibility

EVVR endeavors to build an interconnected IoT ecosystem designed to harmoniously align with your current infrastructure with high compatibility in muti-protocols support and your preferred automation brands.

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