TAPPAS

Hailo has developed TAPPAS to streamline the development and deployment of edge applications that require high performance. This reference applications software package helps customers accelerate their time to market by reducing the amount of time and effort spent on development. TAPPAS includes a user-friendly GStreamer-based set of fully functional application examples that incorporate pipeline elements and pre-trained AI tasks. These examples are built on top of advanced Deep Neural Networks that showcase the best-in-class throughput and power efficiency of Hailo’s AI processors. In addition, TAPPAS illustrates how Hailo’s system integration works by showcasing specific use cases on predefined software and hardware platforms. By utilizing TAPPAS, customers can simplify integration with Hailo’s runtime software stack and have a starting point to fine-tune their applications.

Hailo’s TAPPAS Template Applications And Solutions for high-performance edge application development and deployment

TAPPAS, an object detection app: A high-resolution video feed of a busy speedway is processed in real time on the Hailo-8™ AI Processor with high detection accuracy.

TAPPAS out-of-the-box versatile apps include:

Multi-Camera Multi-Person (RE-ID)

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Multi-Camera Multi-Person (RE-ID)

Tracking specific people across multiple cameras in the pipeline with multiple streams utilizing model scheduling

Tiling

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Tiling

Tiling is a technique allows examine specific sections of an image in greater detail without compromising its resolution. This technique is commonly utilized for the purpose of detecting small objects in high-resolution images.

License Plate Recognition (LPR)

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License Plate Recognition (LPR)

Automatic license plate recognition application based on a complex pipeline utilizing model scheduling

Multi Stream Object Detection

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Multi-stream Object Detection

Detection apps with several available neural networks, delivering unique functionalities and supporting multiple streams

Hailo Tappas Depth Estimation

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Depth Estimation​

Estimates the depth or distance information from a given 2D image or video. Providing a perception of the three-dimensional structure.

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Semantic Segmentation

By assigning a specific class or category to each pixel, it provides a detailed understanding of the visual scene at a pixel level and helps vehicles to decide where the road, sidewalk, other vehicles, and pedestrians are.

Facial Detection and Recognition

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Facial Detection and Recognition

Application utilized for surveillance and security, authentication and access control and human-computer interaction

Pose Estimation

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Pose Estimation

A significant building block for commercial and consumer applications. Understanding and analyzing human activities or detecting and tracking suspicious or abnormal human poses or movements.

Object Detection

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Object Detection

Detection on one video file source by running a single-stream object detection pipeline

Instance Segmentation

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Instance Segmentation

Application identifies, outlines and colors different objects and persons for precise object localization and separation.