Anti-theft alarm technology integration development
At the moment, most alarm products do not have any basic functions and technical applications of artificial intelligence. They often cater to the market and create concepts-even the technology and application of big data are not available in the current alarm industry. of. On the one hand, the majority of alarm operators will neither manage nor use the data in the daily alarm service process (in fact, these data are basically useless information), and at the same time they are too “broom cherished” and lack open mind and thinking.
In a general sense, the alarm industry, especially networked alarm service companies, has a large amount of customer data, including the business types, customer information, equipment information, defense zone matching, usage habits, alarm (fault) frequency, and incident characteristics of local customers, etc. Information and data involved in various daily alarm service processes. At the same time, the alarm service platform (whether it is a network cloud platform or a local service platform) is basically backing up these data on a regular basis (based on the situation of different enterprises, generally the alarm platform data is daily / weekly / Regular backups are made every month), and all alarm operators only keep these data (basically, public security / policies have backup time requirements for the relevant information in the case for future reference), which cannot be used, difficult to generate value, or fundamental. There is no use value.
The reason that the various data accumulated by the current alarm platform is useless information is rooted in two aspects: First, neither the current alarm equipment manufacturer nor the operator of the alarm service platform itself has the data mining and analysis capabilities. Second, the data collected by the current operation of the alarm service itself only promotes the improvement of conventional security services by operators in various places, and cannot provide value-added services to the broad customer base and generate revenue.
From the perspective of alarm equipment manufacturers, the hardware products provided are only based on the current product technical characteristics and application scenarios for index improvement. They do not provide more added value themselves, and they lack the functional design and improvement of software and platforms. Data integration and application capabilities and thinking (most manufacturers are talking about the platform's strategic thinking, lacking actions and cases in actual implementation).
On the other hand, the alarm service operator seems to have a large amount of data (these information can be roughly divided into three categories: customer information, system information, and usage information). In fact, these data are basically useless and redundant. As mentioned above, it cannot bring added value to the user (alarm operators do not have the type of business that can provide value-added services and the ability to meet demand). Second, the relevant service personnel of the operator (mainly technical maintenance personnel) do not use data. Capabilities and habits-in most cases, the common and large amount of data accumulated by the alarm platform is false alarm information and arming and disarming information-the arming and disarming time period of users in any area is relatively fixed (the physical store operation itself is only winter and summer Seasons are separate). Arming and disarming information can only be used as proof of exemption from theft; for false positives, the technical maintainer can determine the cause of a user's false positive without the need for statistics and analysis of the data (after all, the customer is familiar with the daily Some of the technical waiters who dealt with it on the spot were intractable problems that have never been solved).
From these two realities, big data in the alarm service industry has basically become a false proposition, which is the root cause of the declining operating model under the banner of big data in the past year or two. However, can't the alarm service industry really realize big data and use big data concepts and tools to get better development? The maturity and superposition of artificial intelligence technology shows the dawn of this direction.