In-out YOLO glass: Indoor-outdoor object detection using adaptive spatial pooling squeeze and attention YOLO network

•People with vision impairments (VIPs) have difficulty moving around in both indoors and outdoors.•The VIP discovered hazardous obstacles that are absent from the existingobject detecting system.•The In-Out Yolo Glass has been proposed to assist visually impaired people.•The proposed approach exhibits a 99.05 % mAP, signifying dependable and better object identification.•According to tests, the proposed method may be useful for people with visual impairments. Visually impaired people encounter numerous obstacles in their daily lives, including difficulty navigating and discriminating between different environments. Therefore, smart gadgets able to ease some of these individuals' challenges are urgently needed. There are three main difficulties found in the lives of visually impaired people: identifying people, adapting to both indoor and outdoor environments, and receiving alerts about possible dangers. To overcome these challenges, the Indoor-Outdoor YOLO Glass network (In-Out YOLO) an object detection model-based video has been proposed to assist visually impaired people. The proposed method uses a novel Adaptive Spatial pyramid-based Squeeze Excitation and Attention YOLO network for detecting the object. By providing information about nearby items and enabling independent navigation, the proposed approach will benefit those who are visually impaired. For visually impaired people, the proposed approach facilitates the identification and avoidance of objects that impact their daily activities and ability to function at work, both indoors and outdoors. The tested indoor object detection system performs well, as seen by its 98.95 % accuracy rate, according to the testing data.