By measuring body size and body weight, the growth and development status and nutritional status of various parts of the cattle can be understood. In the breeding of beef cattle breeding farms, a key process is to measure body weight and body size, and select those with fast growth speed and good development to be used as breeding bulls or cows. Common measurement items: body height, body oblique length, body straight length, chest circumference, abdominal circumference, cross height, etc. The traditional measurement method for measuring body measurements is manual measurement. Commonly used measuring tools: measuring stick, tape measure, and circular touch tester. This method has many operators, high difficulty, low data accuracy, and some cows are irritable and prone to injury, resulting in low measurement efficiency. 一、 Scheme Description In order to further solve the difficulties encountered in manual measurement, we adopt multimodal image fusion and 3D point cloud computing technology to achieve non-contact intelligent measurement of beef cattle body size, facilitating and quickly obtaining body size data. Equipment principle and operation process： An automatic detection device composed of an infrared sensor array and a computer PC. The cattle detection channel includes a horizontally arranged channel for cattle walking and a fence symmetrically arranged on both sides of the channel. Infrared sensors are vertically spaced on the fence at the front end of the cattle detection channel to form an infrared sensor array, and a depth camera is set above the animal detection channel to shoot animals entering the animal detection channel。 The circuit structure of the automatic detection device is as follows: each infrared sensor in the infrared sensor array transmits the received infrared signal to the computer PC through its signal output terminal through the corresponding I/O interface of the computer PC. When the computer PC detects that the infrared signal emitted by each infrared sensor changes from bottom to top, it is judged that the cow has entered the detection channel, The computer PC sends a control signal through its corresponding I/O interface to control the depth camera to take photos of cows entering the detection channel. The depth image information collected by the depth camera is transmitted to the computer PC through its signal output end through the corresponding I/O interface of the computer PC, The computer PC transmits the cow's body size information to the image analysis big data platform through wireless networks based on the known height from the depth camera to the channel and the depth image information collected by the depth camera. The cow's body size information is transmitted to the output device through the corresponding I/O interface of the computer PC. Recurrence in sequence. 三、equipment parameters 1、Fence size: L3500mm * B800mm * H340mm (this height includes the top camera rack);
2、Fence structure: automatic pneumatic door at the entrance and exit, with anti pinch function;
3、Silent cylinder: cylinder diameter 63mm, stroke 200mm;
4、The entire machine adopts carbon steel spray molding, square steel structure, and the pipe thickness is ≥ 2.5mm;
5.Data transmission speed: 25 frames to 30 frames/second;
6.Network broadband transmission: 4Mbps;
7.Automatically collect depth images and RGB images of the two corner points on the side and top of the beef cattle;
8.Body size accuracy: ± 5cm;
9.Body size parameter calculation time: 15 seconds;
10.Body size parameters: body height, body oblique length, body straight length, chest circumference, abdominal circumference, cross height;
11.Working temperature: -45 ℃~+75 ℃
12.Storage temperature: -45 ℃~+75 ℃;
Quality assurance: The system performance is stable, the software system is upgraded for free, and the entire machine is guaranteed for one year. Technical Characteristics 1、Ensure overall firmness and durability, and fully consider the harsh application environment on site, including impact, rain, dust, feces, etc., to ensure long-term stable operation of the equipment in harsh environments; 2.Realize non-contact intelligent collection of growth performance data such as beef cattle body size data in motion. Implementation function: 1.Intelligent and fast measurement of body scale; 2.Data repeatability consistency;
3.Saving manpower and reducing costs;
4.Accurate data;
5.Intelligent measurement is adopted to achieve intelligent breeding.
