March 2019 Summaries

As the retail landscape evolves with the rise of online shopping, brick-and-mortar stores face significant challenges but also opportunities through technologies like computer vision (CV) to enhance customer experience and operational efficiency. Physical retailers, traditionally strong in customer experience, are leveraging CV technologies such as face detection, object tracking, and object recognition to gain insights into customer behavior, optimize staffing, and manage inventory effectively. Face detection helps in real-time customer counting and staff scheduling, while object tracking provides data on customer movement and store layout efficiency. Object detection and recognition enable real-time inventory management and organization of misplaced items. These technologies help physical stores compete with e-commerce by improving in-store experiences, suggesting that the so-called "retail apocalypse" does not necessarily spell the end for brick-and-mortar retailers, as they adapt to new technological advancements to level the playing field.

Facial redaction, a computer vision technique, is gaining attention as a method to protect privacy by blurring or blocking out faces in images or videos. Unlike facial recognition, which identifies individuals, facial redaction focuses on obfuscating identifiable facial features after first detecting faces using a model that places bounding boxes around them. This technology can be used alongside facial recognition to selectively obscure specific individuals while maintaining privacy. As privacy concerns and regulatory demands increase, the significance of facial redaction is expected to grow globally, despite it currently being less popular than facial recognition.