Alison Higuera

Title: The Innovative Contributions of Alison Higuera

Introduction

Alison Higuera is a prominent inventor based in San Jose, CA. She has made significant strides in the field of computer vision, particularly in the development of object detection systems. Her innovative approach has led to advancements that enhance the efficiency and accuracy of object recognition in various settings.

Latest Patents

Alison holds a patent for "Systems and methods for rapid development of object detector models." This invention describes a computer vision system designed for the detection and recognition of objects in both video and still imagery. The system employs a teacher-student object detector training approach, resulting in a merged student model capable of detecting all classes of objects that any of the teacher models are trained to recognize. The training process is streamlined through an iterative method, which begins with a small set of manually labeled images. This is followed by a machine-assisted labeling process and an active learning approach that enhances detector model accuracy with each iteration. Additionally, the system generates synthetic data to facilitate the training of models in various settings. A user interface is also provided to assist operators in constructing custom models for detecting new objects.

Career Highlights

Alison Higuera has made a notable impact in her field through her innovative work at Percipient.ai Inc. Her contributions have not only advanced technology but have also paved the way for future developments in computer vision.

Collaborations

Alison collaborates with talented individuals such as Vasudev Parameswaran and Atul Kanaujia, further enhancing the innovative environment at Percipient.ai Inc.

Conclusion

Alison Higuera's work exemplifies the spirit of innovation in technology, particularly in the realm of computer vision and object detection. Her contributions are shaping the future of how machines perceive and interact with the world around them.