An apparatus for stunning an animal with an exhaust gas mixture includes a stunning chamber located at a processing site to contain therein as many an animal selected to be stunned; and a combustion chamber located at the processing site for combusting a mixture to provide therefrom an exhaust gas mixture which includes carbon dioxide for stunning the animal in the stunning chamber.

An apparatus for stunning, in a stunning chamber, poultry animals for slaughter supplied in transport containers, includes a stunning chamber, a transport device for introducing the containers into the chamber, transporting therethrough and discharging therefrom. The stunning chamber has a vertically oriented stunning shaft. The transport device has a lifting device to lower each container into the chamber, top to bottom, on a first transport path. Each container is transported in the stunning shaft bottom region transversely from the first to a second transport path and is lifted, bottom to top, on the second path. A device in the shaft bottom region introduces stunning gas into the shaft to form inside the stunning chamber a stunning medium of ambient air and stunning gas. A ventilation system inside the stunning shaft circulates parts of the stunning medium in an upper region of the chamber. A method is also provided.

An apparatus for stunning an animal with an exhaust gas mixture includes a stunning chamber located at a processing site to contain therein as many an animal selected to be stunned; and a combustion chamber located at the processing site for combusting a mixture to provide therefrom an exhaust gas mixture which includes carbon dioxide for stunning the animal in the stunning chamber. A related method and exhaust gas mixture are also provided.

A poultry stun detection system is designed for using with a poultry slaughter platform, wherein the poultry stunning detection system includes at least: a first camera device, a second camera device, a network transmission device, and a computer processing device. The poultry stun detection system utilizes visual devices to immediately determine whether the stunned poultry still has perception in real time, and employs the YOLOv4 deep learning model to enhance the recognition accuracy of whether the poultry has lost its consciousness after stunning.