


User behavior research
After determining the scenario, I studied the user's behavior at home to determine the product logic. Using a family of three living in an apartment in a city as a typical user, the study used an installed smart peephole to count the behavior at the door within a month. According to statistics, the number of doorstep incidents is about 12-20 per day. Of these, the doors are opened 6-10 times, and the total opening time is about 2-3 minutes. The statistics on various types of events are shown in Figure 2 & 3, and it can be seen that they are repeated in a short period of time. Therefore, the product should be designed to work only when needed, that is, when the door is opened, and is most efficient. The entrance can be divided into events inside and outside the door. Through analysis and research of the two types, it was determined that the interaction logic detects that someone inside the door is close to starting work and leaving to stop; face recognition outside the door allows family members to start working immediately; otherwise, work starts when the door is opened.