IRVINE, Calif., Jan. 11, 2024 (GLOBE NEWSWIRE) -- Syntiant Corp., a leader in edge AI deployment, today announced the addition of radar as a supported sensor-type to its lineup of customizable deep learning models for machine vision applications.   This new capability broadens the range of use cases leveraging image detection, tracking and classification of events and objects utilizing Syntiant’s edge AI algorithms, which are increasingly under deployment across a spectrum of consumer and commercial devices, including security and IP cameras, 360/VR cameras, video doorbells, vehicles and other areas.   “The addition of radar continues to enhance our off-the-shelf machine learning models, while increasing reliability and accuracy of visual applications,” said Kurt Busch, CEO of Syntiant.

加利福尼亚州欧文（IRVINE），2024年1月11日（Global NEWSWIRE）--edge AI部署的领导者Syntiant Corp.今天宣布，将雷达作为一种受支持的传感器类型添加到其机器视觉应用的可定制深度学习模型系列中。这一新功能扩大了使用Syntiant边缘AI算法对事件和对象进行图像检测、跟踪和分类的用例范围，这些算法越来越多地部署在各种消费和商业设备上，包括安全和IP摄像头、360/VR摄像头、视频门铃、车辆和其他领域。 Syntiant首席执行官库尔特·布希（KurtBusch）表示：“雷达的加入继续增强了我们现成的机器学习模型，同时提高了视觉应用的可靠性和准确性。”。

“We look forward to showcasing this new feature at CES and highlighting our expanding suite of turnkey offerings for our diverse range of customers.” Syntiant’s deep learning models are now utilizing radar-based sensors for fall detection, an application the company first proved and defined with optical sensors.

“我们期待着在消费电子展上展示这一新功能，并重点介绍我们为各种客户提供的一套不断扩大的交钥匙产品。”Syntiant的深度学习模型目前正在利用基于雷达的传感器进行跌倒检测，这是该公司首次用光学传感器验证和定义的应用。

Radar provides several key advantages over traditional optical sensors, including consistent performance under any lighting condition and enhanced security and privacy. “Syntiant’s new radar-based capabilities are exciting because they enable a broad range of high value in-home applications where privacy is key,” said IC Lin, senior associate vice president at Tawain-based Foxconn, one of the world’s largest electronics manufacturers.

与传统光学传感器相比，雷达具有几个关键优势，包括在任何照明条件下的一致性能以及增强的安全性和隐私性。总部位于塔文的富士康（Foxconn）是全球最大的电子制造商之一，该公司高级副总裁IC Lin表示：“Syntiant基于雷达的新功能令人兴奋，因为它们能够在隐私至关重要的家庭应用中实现广泛的高价值。”。

Syntiant’s field-proven, highly accurate computer vision models solve critical problems directly on compute-constrained embedded devices, interpreting the visual world with the highest accuracy and lowest latency, supporting a broad range of appli.

Syntiant经过现场验证的高精度计算机视觉模型直接在受计算限制的嵌入式设备上解决关键问题，以最高的精度和最低的延迟解释视觉世界，支持广泛的应用。