title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ°ÑÐ¸ÐºÐ° Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Application of neural networks to assess store traffic
Creators: name: ÐÐ¸ ÐÑÐ·Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°Ð½Ð¸Ðµ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
Ð¿ÐµÑÐµÐ¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¿Ð¾ÑÐµÑÐ¸ÑÐµÐ»ÐµÐ¹
yolo
ÑÐ»ÑÑÑÐµÐ½Ð½ÑÐ¹ deepsort Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
computer vision
neural networks
object detection
multiple object tracking
visitor reidentification
improved DeepSort algorithm

description: ÐÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð½Ð° ÑÐµÐ¼Ñ: Â«ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ°ÑÐ¸ÐºÐ° Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ð°Â». Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ°ÑÐ¸ÐºÐ° Ð² Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ðµ. ÐÐ»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ Ð±ÑÐ»Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ. ÐÐ°Ð´Ð°ÑÐ¸, ÑÐµÑÑÐ½Ð½ÑÐµ Ð² ÐÐÐ : 1. ÐÐ»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÐµÑÐ¸ÑÐµÐ»ÐµÐ¹ Ð±ÑÐ» Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ YOLOv5 2. ÐÐ»Ñ ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐ²ÑÐ·Ð¸ Ð¼ÐµÐ¶Ð´Ñ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð¶Ð°Ð¼Ð¸ Ñ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ð¼Ð¸ ÐºÐ°Ð¼ÐµÑÐ°Ð¼Ð¸ Ð±ÑÐ» ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¿Ð¾Ð²ÑÐ¾ÑÐ½Ð¾Ð³Ð¾ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ FastReID. 3. ÐÐ»Ñ Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾ÑÐµÑÐ¸ÑÐµÐ»ÐµÐ¹ Ð±ÑÐ» ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ DeepSORT Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ FastReID Ð¸ YOLOv5. 4. ÐÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° ÑÐ¸ÑÑÐµÐ¼Ð° Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ°ÑÐ¸ÐºÐ° Ð¿Ð¾ÑÐµÑÐ¸ÑÐµÐ»ÐµÐ¹ Ð´Ð»Ñ ÑÑÐ¿ÐµÑÐ¼Ð°ÑÐºÐµÑÐ°. 5. ÐÑÐ»Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½ÑÐµ Ð¾ÑÐµÐ½ÐºÐ¸ Ð²ÑÐµÑ Ð¼Ð¾Ð´ÑÐ»ÐµÐ¹ Ð¸ Ð¸Ñ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ñ Ð°Ð½Ð°Ð»Ð¾Ð³Ð°Ð¼Ð¸. 6. ÐÑÐ»Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½Ð°Ñ Ð¾ÑÐµÐ½ÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ°ÑÐ¸ÐºÐ° Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ð°. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð° ÑÐ¾Ð·Ð´Ð°Ð½Ð° ÑÐ¸ÑÑÐµÐ¼Ð° Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ°ÑÐ¸ÐºÐ° Ð¿Ð¾ÑÐµÑÐ¸ÑÐµÐ»ÐµÐ¹ Ð´Ð»Ñ ÑÑÐ¿ÐµÑÐ¼Ð°ÑÐºÐµÑÐ¾Ð², ÐºÐ¾ÑÐ¾ÑÐ°Ñ Ð¼Ð¾Ð¶ÐµÑ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð²ÑÐ¾Ð´ÑÑÐ¸Ñ Ð¸ Ð²ÑÑÐ¾Ð´ÑÑÐ¸Ñ Ð»ÑÐ´ÐµÐ¹ Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð´Ð¾ 95,5% Ð¸ Ð¿Ð¾Ð²ÑÐ¾ÑÐ½ÑÑ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¿Ð¾ÑÐµÑÐ¸ÑÐµÐ»ÐµÐ¹ Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð´Ð¾ 85,0%. Ð ÐºÐ¾Ð½ÑÐµ, Ð½Ð° Ð´ÑÑÐ³Ð¸Ñ Ð±Ð¾Ð»ÑÑÐ¸Ñ Ð¿ÑÐ±Ð»Ð¸ÑÐ½ÑÑ Ð½Ð°Ð±Ð¾ÑÐ°Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¼Ñ ÑÑÐ°Ð²Ð½Ð¸Ð»Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ DeepSORT, FastReID Ñ Ð´ÑÑÐ³Ð¸Ð¼Ð¸ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÐ¼Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°Ð¼Ð¸ Ð¸ Ð´Ð¾Ð±Ð¸Ð»Ð¸ÑÑ Ð½ÐµÐ¿Ð»Ð¾ÑÐ¸Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð².
description: Graduation thesis on the topic: "Application of neural networks to assess store traffic." This paper discusses the implementation of neural network algorithms for evaluating traffic in a store. To solve the tasks, deep learning and computer vision methods were used. Tasks solved in WRC: 1. The YOLOv5 algorithm was used to detect visitors 2. To establish communication between characters when working with several cameras, the FastReID re-recognition algorithm was implemented. 3. To track visitors, the DeepSORT-based algorithm was implemented. 4. A system for assessing visitor traffic for the supermarket was developed. 5. Experimental evaluations of all modules and their comparison with analogues were conducted. 6. An experimental evaluation of the stores traffic evaluation system was conducted. As a result of the study, a visitor traffic scoring system for supermarkets was created, which can identify incoming and outgoing people with an accuracy of up to 95.5% and re-identify visitors with an accuracy of up to 85.0%. In the end, on other large open datasets, we compared DeepSORT, FastReID implementations with other popular algorithms and achieved superior results.