Compare VaxALPR vs. Viso Suite

The cutting-edge Vaxtor LPR engine, initially designed for PC environments, is now seamlessly integrated into both Axis and Mobotix cameras, enabling instantaneous license plate recognition along with crucial meta-data collection. By employing embedded license plate recognition systems, organizations can significantly reduce network bandwidth usage and hardware expenses while enhancing the system's overall reliability and robustness. This solution is crafted to function effectively within real-world network environments, effectively eliminating single points of failure, and adopting an edge-based strategy enhances performance while lowering the total cost of ownership. VaxALPR features built-in black/white list capabilities directly within the camera, ensuring that access control measures and local alerts remain operational at all times. Furthermore, it provides additional meta-data such as direction of travel, country of origin, type of license plate, time and date of capture, GPS coordinates, and confidence levels, along with the option to integrate MMC and VClass for vehicle type classification, thereby empowering your edge-based traffic management systems. With these advanced features, users can expect not only improved efficiency but also a more comprehensive understanding of traffic patterns and vehicle movements.

Viso Suite stands out as the only comprehensive platform designed for end-to-end computer vision solutions. It empowers teams to swiftly train, develop, launch, and oversee computer vision applications without the necessity of starting from scratch with code. By utilizing Viso Suite, organizations can create top-tier computer vision and real-time deep learning systems through low-code solutions and automated software infrastructure. Traditional development practices, reliance on various disjointed software tools, and a shortage of skilled engineers can drain an organization's resources, leading to inefficient, underperforming, and costly computer vision systems. With Viso Suite, users can enhance and implement superior computer vision applications more quickly by streamlining and automating the entire lifecycle. Additionally, Viso Suite facilitates the collection of data for computer vision annotation, allowing for automated gathering of high-quality training datasets. It also ensures that data collection is managed securely, while enabling ongoing data collection to continually refine and enhance AI models for better performance.