CCTV Camera With Intelligence Technology to Minimize Chicken Mortality Due to Hazardous Gas
Mukti Budiarto, Hindriyanto Dwi Purnomo, Budhi Kristianto, Henderi Henderi, Sendy Zul Friandi, Ananda Alifia Putri · 2023
Utilization of CCTV cameras to identify upside down or downed chicken images equipped with Artificial Intelligence technology as an early effort to monitor the behavior of chickens due to toxic or dangerous gases in the broiler business is the application of technology used to reduce the problem of adult chicken mortality due to poisoning from accumulation. Ammonia gas produced from ready-to-harvest chicken manure is an air condition that is considered unsanitary. The purpose of the application of the use of PTZ type CCTV to reduce the number of deaths of chickens exposed to toxic gases is applied to farms with a cage area of $720 m^{2}$ consisting of 1 floor with a closed house (close house) and has a capacity of ± 11000 chickens. CCTV cameras will capture visual images of chickens in unnatural conditions where their movements are not as active as chickens in healthy conditions. The research method used is to design an Artificial intelligence-based system that is designed to consist of CCTV cameras with motion sensor technology, thermal imaging cameras to study the behavior of mature chickens ready to harvest that inhale harmful gases such as ammonia and methane from the feces in the husks, which then trapped and unable to turn around because of his body weight and position when he inhaled the gas. Another effort that has been made is to operate other devices in the form of a blower fan (Exhoustfan) which works automatically and the system is also equipped with manual operations contained in the panel box in the enclosure. Normal conditions are ready to harvest at the age of 28-30 days, the average body weight is achieved with a weight of 2000-2500 grams per head. The parameters set in this system, to ensure that the chickens remain healthy, are for the temperature value between $30^{\circ}{\mathrm{C}}$ to $33^{\circ}{\mathrm{C}}$ while the ammonia level is between 20 ppm to 40 ppm. The benefit of this research is that the results obtained from the application of CCTV with this AI method are framing images of chickens experiencing respiratory problems so that they are easily read by cage officers using a monitor screen. The test results show that the tool works well and can reduce the mortality rate of chickens to below 10%. So the conclusion is that CCTV equipment equipped with AI can function to provide images of objects that are considered potential problems.