Why fire recognition cameras are not popular?
While all kinds of fire accidents make people feel distressed, what should be paid more attention to and reflected on is that behind the major accidents of life and property, the lack of advance warning and in-event feedback has caused the fire rescue to lose the golden time.
Therefore, prevention is the key, and improving fire perception and warning is particularly important.
Based on this, the necessity of flame recognition cameras is self-evident.
As a professional security product, flame recognition cameras have been on the market for more than ten years and have experienced ups and downs, but have not been widely popularized.
What is different from the past is that at the moment when consumer security monitoring products are booming, flame recognition cameras have seen the momentum of rising demand again under the support of AI algorithms and new marketing models.
Recently, CPS Zhongan Network visited several manufacturers involved in flame recognition cameras, including brand manufacturers, module manufacturers, algorithm suppliers, etc., and learned about the difficulties and opportunities currently faced by flame recognition cameras from different dimensions.
Obstacle: Low application rate
The emergence of flame image recognition technology is key to the accuracy of flame image recognition, reducing the probability of false alarms and missed alarms. Shenzhen-based Wavegrain is an important manufacturer in the flame recognition camera industry.
Five years have passed since the “million HD” monitoring era was proposed. Wavegrain, the originator of China’s digital network HD camera independent development, has taken a unique approach and launched flame recognition cameras. This period is also the period when China’s security monitoring industry, especially Shenzhen as the “security capital”, gradually weakened from its heyday. The transformation of monitoring from analog to digital has accelerated the industry reshuffle and brought new innovations.
In this process, relying on years of experience in the underlying core technology of cameras and years of experience in intelligent AI algorithms, Wavegrain has been deeply involved in the field of fire detection technology, successfully solving the problem of false alarms in fire detection, and realizing long-distance detection and second-speed response. Wavegrain’s AI fireworks recognition camera not only supports the recognition of smoke and flames, but also flame detection is completely unaffected by sunlight, which improves recognition accuracy. Its flame recognition camera is still its core category.
It is just regrettable that as a professional security product, the flame recognition camera has gradually lost its splash in the torrent of the market due to the pressure of its price system and the particularity of its application scenarios.
In particular, unlike the price level of civil security monitoring products, the price of flame recognition cameras is relatively high, and they have long been in cooperation with engineering companies and integrators, and continue to focus on To B projects.
However, as industry insiders said, based on the particularity of its application scenarios and the solidified thinking at the channel promotion level, the awareness of flame recognition cameras in the consumer market is not high, and most of them are products that are only thought of after a fire accident occurs.
From the perspective of traditional To B market demand, charging sheds, warehouses, comprehensive markets, clothing factories, furniture factories, etc. have become the main application scenarios of flame recognition cameras, but the actual application rate is not high at present.
Based on this, with the continuous iteration of image recognition technology, more flame recognition camera manufacturers are trying to break through at the algorithm level, add AI to this category, and try to push it to categories that are well known to consumers.
According to CPS Zhongan Network, Interlingda, an algorithm manufacturer from Shenzhen, has also launched an AI fire detection camera based on the deep support of the “smoke” and “flame” artificial intelligence recognition algorithm functions.
In addition, Xiaoding Security from Shenzhen is also very active in the field of flame recognition cameras, and has extended to the ordinary civilian market. It once launched the slogan “You can buy a flame recognition and pedestrian recognition two-in-one fire protection machine at the price of an ordinary camera.”
It can be seen that the application demand for flame recognition cameras is in urgent need of breaking the circle. Turning products from To B to To C market, launching cost-effective civilian products, and broadening marketing channels may be a new way out for flame recognition cameras.
Way out: Open up the civilian market
It can be said that the technical core of flame recognition cameras lies in accurate recognition and second-level response, reducing the probability of missed reports and false alarms.
It is understood that there are two types of flame recognition cameras on the market. One is a combination of sensors and algorithms, and the other is a pure algorithm, which is committed to accurately capturing tiny flame changes in dark, smoky environments, and identifying them through algorithms, so as to achieve early warning.
But as mentioned before, the dilemma facing flame recognition camera manufacturers is still the price pressure of professional categories.
Therefore, in the process of transformation, the high cost-effectiveness of civilian demand cannot be ignored.
As Su Qunbao, the founder of Xiaoding Security, said, low prices will definitely appear, and every industry is rolling, and this is inevitable. After all, the current market for flame recognition cameras is very good and the application is very broad.
Mao Zhonglong, chairman of Boli, also frankly said: Civilian flame recognition cameras are definitely the future trend and the key to entering the To C market.
However, “at present, the demand and application scenarios of flame recognition cameras are relatively broad, but because such products are either expensive or have a bad experience in the early stage, such as false alarms, complex installation and debugging, and inability to centrally manage, it will affect user expectations and thus affect the speed of market popularization.” Su Qunbao also said.
Talking about the future of flame recognition cameras, under the premise of cost-effectiveness, improve the accuracy of recognition and do a good job in service operation and maintenance. At the same time, it has become a consensus among relevant manufacturers to broaden marketing ideas, meet the personalized customization needs of small batch customers, and expand the demand of the long-tail market.
