High resolution: The camera should have a high resolution, such as 108P or above, to clearly capture the details of the goods, customer movements, and facial features. High resolution can accurately record the exact number of goods taken by customers their subtle movements when identifying theft, providing strong evidence for subsequent tracing; for product monitoring, it allows staff to accurately judge whether the goods are neatly arranged and whether there any damages when viewing remotely.

Low light performance: Considering that the unmanned vending machine may be placed in a darker place or in a night operation scenario, the camera should excellent low light performance and be equipped with infrared supplementary lighting function to ensure that clear and visible images can be shot even in low light environments, without affecting the monitoring of and customer behavior.

Target detection accuracy: Using advanced deep learning algorithms, the camera should be able to accurately identify goods, customer body parts and movements. For goods, it can quickly distinguish different categories and brands, with the error rate controlled at a very low level, which is convenient for linkage with the system; for customer movements, such as taking and returning goods, the behavior recognition accuracy should be high to avoid false positives causing unnecessary alarms.

Face recognition technology: Support recognition function, quickly capture facial features and compare with the database when identifying theft and other violations, if it is an old customer, it can be comprehensively judged in with the past consumption records; at the same time, face recognition is also used for passenger flow statistics, distinguish different individuals, and improve the accuracy of traffic statistics.

Long-term operation: Unmanned vending machines usually work 24 hours a day without interruption, and the camera must have high stability and be to operate stably for a long time under various harsh environmental conditions, such as high temperature, high humidity, and low temperature, to reduce the probability of failure and maintenance costs.

Data transmission stability: The data collected by the camera should be transmitted to the background management system in real time and stably, using reliable wired or wireless protocols, such as Wi-Fi 6 or Ethernet connection, to avoid data loss and delay, and ensure the timeliness of monitoring and operation decision-making.

Wide-angle design: The camera lens should adopt a wide-angle design to cover the entire operation area of the unmanned vending machine, including the product display area the goods collection area, the payment area, etc., to ensure no monitoring blind spots and capture customer behavior and product status in all directions.

Adjustable angle: It a certain angle adjustment function, which is convenient for the installation and commissioning personnel to flexibly adjust the camera shooting angle according to the actual layout and needs of the machine, and optimize the monitoring field of view.

Encrypted transmission: During the transmission of data by the camera, encryption technology, such SSL/TLS encryption protocol, should be used to prevent data from being stolen and tampered with during transmission, and to ensure the security of customer images and other informationStorage security: When storing data locally or in the cloud, set strict access permissions, use encryption algorithms to encrypt the stored data, and only authorized personnel can access it strictly guarding the customer's privacy bottom line.

Cameras that meet these technical requirements can better serve the efficient operation of unmanned vending machines, ensuring the interests of merchants while protecting customer rights and interests.