展览会参观人员停留时间统计数据

通过视觉移动摄像头配合研发的AI模型算法，采集参观人员在展览会各个区域的停留时间与总停留时间，经计算处理后得到各个展会区域的停留时间与总停留时间的占比，来评价展览会的展览情况，能够用于指导主办方在下次的展览活动策划等行为。一、数据采集：通过视觉移动摄像头配合研发的AI模型算法，采集参观人员在展览会各个区域的停留时间，并把每天的三个时间段内的停留时间进行汇总整理。
数据处理：汇总后得到总停留时间Y，按照区域分类，算出展览会区域的停留时间X，再算出每个区域的停留时间X与总停留时间Y，得到每个区域的停留时间占比情况。三、数据应用：根据第二步得到的占比数据，可用来评价展览会的参观情况，并用于指导主办方在下次的展览活动策划等行为。

This dataset is constructed using mobile visual cameras paired with a custom-developed AI model algorithm to collect the individual dwell times of visitors across all zones of an exhibition as well as the overall total dwell time. Through computational processing, the proportion of each exhibition zone's dwell time relative to the total dwell time is derived, enabling evaluation of the exhibition's performance and providing guidance for organizers to plan future exhibition activities.

1. Data Collection:
Utilizing mobile visual cameras paired with the developed AI model algorithm, the dwell time of visitors in each exhibition zone is collected, and the dwell time data within three designated daily time periods is aggregated and sorted.

2. Data Processing:
After aggregation, the total dwell time (denoted as Y) is obtained. The dwell time of each exhibition zone (denoted as X) is calculated via zone-based categorization. Subsequently, the proportion of each zone's dwell time X relative to the total dwell time Y is computed to obtain the dwell time proportion for each individual zone.

3. Data Application:
Based on the proportion data obtained in the data processing step, the visitor experience and exhibition visiting situation can be evaluated, and the analysis results can be used to guide organizers in planning future exhibition activities and other relevant decision-making behaviors.

搜集汇总

数据集介绍

特点

该数据集详细记录了展览会参观人员在不同展区的停留时间及其占比，数据每日更新，适用于展览会效果评估和未来活动策划。