vehicle_data 机非人业务
功能介绍
机非人业务:机动车/非机动车/行人相关的智能场景。
机非人业务消息体的message_type值为target_data。
目前行业视频管理服务会处理以下场景:
itgt_type/target_type枚举值:
- 6 机非人业务目标整体信息(摄像机SDC/NVR800开启机非人模式,行人进入区域,会被自动抓拍,提取行人特征信息,如:年龄段、是否戴眼镜、长头发还是短头发、是否戴帽子、衣服款式和颜色等)
- 7 机非人业务机动车信息(摄像机SDC/NVR800开启机非人模式, 机动车进入区域,会被自动抓拍,提取机动车特征信息,如:机动车品牌、款型、车牌号、车牌颜色等)
- 8 机非人业务非机动车信息(摄像机SDC/NVR800开启机非人模式,非机动车进入区域,会被自动抓拍,提取非机动车特征信息,如:非机动车类型、颜色、骑行者的特征信息等)
- 53 非机动车上目标检测(特定混行摄像机SDC开启混行模式,非机动车进入区域,会被自动抓拍,提取非机动车及其骑行者特征信息,如:非机动车类型、颜色、骑行者的特征信息等。注意:与8不同的是,53有更多的关于骑行者的特征信息,如骑行者是否背包、是否有撑伞等)
消息结构体介绍
|
字段名 |
类型 |
说明 |
|---|---|---|
|
device_id |
String |
设备ID,正常情况下不为空,必传 |
|
channel_id |
String |
通道ID,正常情况下不为空,必传 |
|
data_id |
String |
数据ID:正常情况下不为空,必传。可用于查询智能图片数据,参考链接:智能图片下载 |
|
itgt_type |
Int |
智能业务场景 枚举值:
|
|
report_time |
String |
上报时间,示例:2021-03-15T16:43:00+08:00 |
|
global_obj_id |
Int64 |
全局ID,设备传入的唯一标识 |
|
lane_id |
Int64 |
车道号 |
|
vehicle_direction |
Int |
车辆运动方向 枚举值:
|
|
plate_char |
String |
车牌字符,当检测到机动车属性时传该值 |
|
plate_color |
Int |
车牌颜色,当检测到机动车属性时传该值,见附录车牌颜色 |
|
vehicle_type |
Int |
机非人类型,当检测到机非人属性时传该值,见附录机非人类型 |
|
vehicle_color |
Int |
车辆颜色,当检测到机动车属性时传该值,见附录车辆颜色 |
|
car_pre_brand |
Int |
品牌字符索引,当检测到机动车属性时传该值,见附录车款类型 |
|
car_sub_brand |
Int |
子款符号索引,当检测到机动车属性时传该值 |
|
car_year_brand |
String |
年款符号,当检测到机动车属性时传该值 |
|
rider_age_range |
Int |
骑行人年龄范围 枚举值:
|
|
rider_gender |
Int |
骑行人性别 枚举值:
|
|
has_helmet |
Boolen |
是否戴头盔 |
|
helmet_color |
Int |
头盔颜色 |
|
motor_color |
Int |
非机动车颜色 |
|
has_motor_sunshade |
Boolen |
是否有遮阳伞 |
|
has_motor_carry |
Boolen |
是否有携带物 |
|
has_license_plate |
Boolen |
是否有车牌 |
|
rider_num |
Int |
骑行人数 |
|
motor_type |
Int |
非机动车类型 |
|
vehicle_url |
String |
车辆特写图url |
|
target_all_pic_url |
String |
目标整体抠图url |
|
panorama_url |
String |
全景图片url |
|
vehicle_pos |
RectCor object |
车辆检测框位置万分比 |
|
human_pos |
RectCor object |
目标整体位置万分比 |
|
human_age |
Int |
行人年龄 枚举值:
|
|
human_gender |
Int |
行人性别 枚举值:
|
|
human_upperstyle |
Int |
上衣款式
|
|
human_uppercolor |
Int |
上衣颜色 |
|
human_lowstyle |
Int |
下衣款式 |
|
human_lowercolor |
Int |
下衣颜色 |
|
human_shape |
Int |
体型 |
|
human_mouthmask |
Int |
行人口罩 |
|
human_hair |
Int |
行人头发 |
|
common |
Common object |
通用数据定义 |
|
target |
Target object |
目标:设备上传TLV时的设备的原始数据,该字段是设备上传的原始数据的解析,不同的业务场景传入的字段会不相同。 |
|
moto_type |
Int |
非机动车类型 |
|
字段名 |
类型 |
说明 |
|---|---|---|
|
x_cor |
Int |
上层业务检测框左上角坐标点x计算方式,x1 = x_cor *全景图像素宽度/ 10000 |
|
y_cor |
Int |
上层业务检测框左上角坐标点y计算方式,y1 = y_cor *全景图像素高度/ 10000 |
|
width |
Int |
上层业务检测框宽度 计算方式 widht1 = widht *全景图像素宽度/ 10000 |
|
height |
Int |
上层业务检测框长度 计算方式 height1 = height *全景图像素高度/ 10000 |
|
字段名 |
类型 |
说明 |
|---|---|---|
|
channel_id |
Int64 |
通道ID |
|
channel_id_ex |
Int64 |
相机扩展通道ID |
|
pts |
Int64 |
时间戳 |
|
sdc_device_id |
String |
主从机设备ID |
|
sdc_uuid |
String |
摄像机视频源通道号 |
|
intelligence_type |
Int |
智能类型 |
|
image_height |
Int |
图片高度 |
|
image_width |
Int |
图片宽度 |
|
meta_type_mask |
Int |
元数据类型掩码 枚举值:
|
|
字段名 |
类型 |
说明 |
|---|---|---|
|
car_pre_brand |
String |
品牌字符:中文字符,例如大众 |
|
car_pre_brand_index |
Int |
品牌字符索引,当检测到机动车属性时传该值,见附录车款类型 |
|
car_sub_brand |
String |
子款字符:中文字符,例如明锐 |
|
car_sub_brand_index |
Int |
子款字符索引 |
|
car_year_brand |
String |
年款字符:例如2011 |
|
cur_snap_index |
Int |
当前抓拍序列号 |
|
global_object_id |
Int64 |
智能目标全局ID |
|
human_pic |
String |
目标整体抠图:已转化为图片url |
|
human_pic_kps |
Int |
目标整体抠图kps质量过滤标志位 |
|
human_pic_roi |
Rect object |
目标整体抠图中的目标整体目标框:目标整体抠图中可能存在其它干扰,此坐标用于精确圈定目标整体范围 |
|
human_rect_position |
Rect object |
目标整体位置 |
|
lane_id |
Int |
车道号 |
|
panorama_pic |
String |
全景图:已转化为图片url |
|
pic_snapshot_dst_offset |
Int64 |
夏令时偏移时间:单位秒/s |
|
pic_snapshot_time |
Int |
抓拍时间 |
|
pic_snapshot_timems |
Int64 |
抓拍时间:单位毫秒/ms |
|
pic_snapshot_tzone |
Int64 |
抓拍时区:单位毫秒/ms 东区为+ 西区为-,支持夏令时 |
|
plate_char |
String |
车牌字符,当检测到机动车属性时传该值 |
|
plate_color |
Int |
车牌颜色,当检测到机动车属性时传该值,见附录车牌颜色 |
|
plate_pic |
String |
车牌抠图:已转化为图片url |
|
plate_pos |
Rect object |
车牌位置万分比 |
|
plate_pos_abs |
Rect object |
车牌位置绝对坐标 |
|
plate_pos_com |
Rect object |
车牌位置万分比 |
|
plate_type |
Int |
车牌类型,参考附录车牌类型 |
|
target_type |
Int |
智能业务场景 枚举值:
|
|
trecord_type |
Int |
告警类型,见附录告警类型 |
|
vehicle_color |
Int |
车辆颜色,当检测到机动车属性时传该值,见附录车辆颜色 |
|
vehicle_direction |
Int |
车辆运动方向 枚举值:
|
|
vehicle_pic |
String |
车辆图,已转化为图片url |
|
vehicle_pos |
Rect object |
车身位置万分比 |
|
vehicle_pos_abs |
Rect object |
车辆位置绝对坐标 |
|
vehicle_pos_com |
Rect object |
车辆位置相对坐标万分比 |
|
vehicle_type |
Int |
机非人类型,当检测到机非人属性时传该值,见附录机非人类型 |
|
vehicle_type_ext |
Int |
机非人扩展类型,当检测到机非人属性时传该值,见附录机非人类型 ,例如机非人类型为轿车,扩展类型为两厢轿车 |
|
vhd_object_id |
Int64 |
机非人ID |
|
human_gender |
Int |
行人性别 枚举值:
|
|
human_umbrella |
Int |
是否撑伞 枚举值:
|
|
human_lower_color |
Int |
下衣颜色 枚举值:
|
|
human_direct |
Int |
行进方向 |
|
human_carry |
Int |
是否拎东西 枚举值:
|
|
human_mouth_mask |
Int |
是否戴口罩 枚举值:
|
|
human_age |
Int |
年龄人群 枚举值:
|
|
human_upper_texture |
Int |
上衣纹理 枚举值:
|
|
human_view |
Int |
朝向 枚举值:
|
|
human_feature |
Feature Object |
目标整体属性 |
|
human_luggage |
Int |
是否有行李箱 |
|
human_backpack |
Int |
是否有背包 |
|
human_lower_style |
Int |
下衣款式 枚举值:
|
|
human_upper_color |
Int |
上衣颜色 |
|
human_hair |
Int |
发型 枚举值:
|
|
human_shape |
Int |
体型 枚举值:
|
|
human_speed |
Int |
行进速度 |
|
human_upper_style |
Int |
上衣款式 枚举值:
|
|
human_hat |
Int |
是否戴帽子 |
|
human_frontpack |
Int |
是否有前面背包 |
|
human_satchel |
Int |
是否有斜挎包 |
|
human_glass |
Int |
是否戴眼镜 |
|
motor_color |
Int |
非机动车颜色 |
|
motor_license_plate |
Int |
是否有车牌 |
|
motor_motor_carry |
Int |
是否有携带物品 |
|
motor_sunshade |
Int |
是否有遮阳伞 |
|
motor_sunshade_color |
Int |
遮阳伞颜色 |
|
motor_type |
Int |
非机动车类型 |
|
riderman_age |
Int |
骑行人年龄人群 |
|
riderman_feature |
RidermanFeature Object |
骑行人属性 |
|
riderman_gender |
Int |
骑行人性别 |
|
riderman_helmet |
Int |
骑行人是否戴头盔 |
|
riderman_helmetcolor |
Int |
骑行人头盔颜色 |
|
riderman_num |
Int |
骑行人数量,具体人数 |
|
riderman_uppercolor |
Int |
骑行人上衣颜色 |
|
riderman_upperstyle |
Int |
骑行人上衣款式 |
|
vehicle_pos_abs |
Rect Object |
车辆位置绝对坐标 |
|
face_id |
Int64 |
人脸号 |
|
face_pic_time |
Int |
人脸抓拍时间 |
|
face_pic_tzone |
Int64 |
人脸抓拍时区:单位毫秒/ms 东区为+ 西区为-,支持夏令时 |
|
字段名 |
类型 |
说明 |
|---|---|---|
|
x |
Int |
上层业务检测框左上角坐标点x计算方式,x1 = x *全景图像素宽度/ 10000 |
|
y |
Int |
上层业务检测框左上角坐标点y计算方式,y1 = y *全景图像素高度/ 10000 |
|
width |
Int |
上层业务检测框宽度 计算方式 widht1 = widht *全景图像素宽度/ 10000 |
|
height |
Int |
上层业务检测框长度 计算方式 height1 = height *全景图像素高度/ 10000 |
|
字段名 |
类型 |
说明 |
|---|---|---|
|
age |
Int |
年龄人群 |
|
backpack |
Int |
是否有背包 |
|
carry |
Int |
是否拎东西 |
|
front_pack |
Int |
是否有前面背包 |
|
gender |
Int |
行人性别 枚举值:
|
|
glass |
Int |
是否戴眼睛 |
|
hair |
Int |
发型 |
|
hat |
Int |
是否戴麦子 |
|
lower_color |
Int |
上衣颜色 |
|
lower_style |
Int |
上衣款式 |
|
luggage |
Int |
是否有行李箱 |
|
mouth_mask |
Int |
是否戴口罩 |
|
move_direct |
Int |
行进方向 |
|
move_speed |
Int |
行进速度 |
|
satchel |
Int |
是否有斜挎包 |
|
shape |
Int |
体型 |
|
umbrella |
Int |
是否有雨伞 |
|
upper_color |
Int |
下衣颜色 |
|
upper_style |
Int |
下衣款式 |
|
upper_texture |
Int |
上衣纹理 |
|
view |
Int |
朝向 |
|
字段名 |
类型 |
说明 |
|---|---|---|
|
age |
Int |
年龄人群 |
|
gender |
Int |
行人性别 枚举值:
|
|
helmet |
Int |
是否戴头盔 |
|
helmet_color |
Int |
头盔颜色 |
|
upper_color |
Int |
下衣颜色 |
|
upper_style |
Int |
下衣款式 |
{
"message_id": 1676253459558286045,
"message_type": "vehicle_data",
"data": {
"device_id": "219123456CYP***",
"channel_id": "0",
"data_id": "167625345941400200060000rwnwv130",
"report_time": "2023-02-13T09:57:37+08:00",
"itgt_type": 6,
"global_obj_id": 7198857782190185688,
"lane_id": 1,
"vehicle_type": 9,
"target_all_pic_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200040000rwnwv130.jpg/static",
"panorama_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200020000rwnwv130.jpg/static",
"human_lowstyle": 1,
"human_gender": 1,
"human_uppercolor": 2,
"human_hair": 2,
"human_shape": 1,
"human_age": 2,
"human_mouthmask": 1,
"human_lowercolor": 2,
"human_upperstyle": 2,
"human_pos": {
"x_cor": 3218,
"y_cor": 1601,
"width": 1057,
"height": 6046
},
"common": {
"channel_id": 101,
"channel_id_ex": 101,
"meta_type_mask": 2,
"pts": 167668079703,
"sdc_device_id": "40619954-b309-46b1-7d1a-a3f443a58c87",
"sdc_uuid": "224440c1-966e-57eb-fd7b-8ca03739be7e"
},
"target": {
"global_object_id": 7198857782190185688,
"human_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200040000rwnwv130.jpg/static",
"human_pic_roi": {
"x": 2916,
"y": 0,
"width": 4229,
"height": 10000
},
"human_gender": 1,
"human_umbrella": 1,
"human_lower_color": 2,
"human_direct": 2,
"human_carry": 1,
"human_mouth_mask": 1,
"human_age": 2,
"human_upper_texture": 1,
"human_view": 1,
"human_feature": {
"age": 2,
"backpack": 1,
"carry": 1,
"front_pack": 1,
"gender": 1,
"glass": 65536,
"hair": 2,
"hat": 65536,
"lower_color": 2,
"lower_style": 1,
"luggage": 1,
"mouth_mask": 1,
"move_direct": 2,
"move_speed": 0,
"satchel": 1,
"shape": 1,
"umbrella": 1,
"upper_color": 2,
"upper_style": 2,
"upper_texture": 1,
"view": 131072
},
"human_luggage": 1,
"human_backpack": 1,
"human_lower_style": 1,
"human_upper_color": 2,
"human_hair": 2,
"human_shape": 1,
"human_speed": 2,
"human_upper_style": 2,
"human_hat": 1,
"human_frontpack": 1,
"human_satchel": 1,
"human_glass": 1,
"human_rect_position": {
"x": 3218,
"y": 1601,
"width": 1057,
"height": 6046
},
"lane_id": 1,
"panorama_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200020000rwnwv130.jpg/static",
"pic_snapshot_dst_offset": 0,
"pic_snapshot_time": 1676253453,
"pic_snapshot_timems": 1676253453434,
"pic_snapshot_tzone": 28800000,
"target_type": 6,
"trecord_type": 34,
"vehicle_type": 9,
"vehicle_type_ext": 9,
"vhd_object_id": 40152
}
},
"test": false
}
{
"message_id": 1676252528838941764,
"message_type": "vehicle_data",
"data": {
"device_id": "219123456CYP***",
"channel_id": "0",
"data_id": "167625252854900210110000rwnwv130",
"report_time": "2023-02-13T09:42:06+08:00",
"itgt_type": 7,
"global_obj_id": 7198857782190185052,
"lane_id": 2,
"vehicle_direction": 4,
"plate_char": "浙XXXXXX",
"plate_color": 1,
"vehicle_type": 1,
"vehicle_color": 2,
"car_pre_brand": 74,
"car_sub_brand": 554,
"car_year_brand": "2010",
"vehicle_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210010000rwnwv130.jpg/static",
"panorama_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210020000rwnwv130.jpg/static",
"vehicle_pos": {
"x_cor": 3218,
"y_cor": 111,
"width": 3085,
"height": 3402
},
"common": {
"channel_id": 101,
"channel_id_ex": 101,
"meta_type_mask": 2,
"pts": 166735159705,
"sdc_uuid": "224440c1-966e-57eb-fd7b-8ca03739be7e",
"sdc_device_id": "40619954-b309-46b1-7d1a-a3f443a58c87"
},
"target": {
"car_pre_brand": "斯柯达",
"car_pre_brand_index": 74,
"car_sub_brand": "明锐",
"car_sub_brand_index": 554,
"car_year_brand": "2010",
"cur_snap_index": 0,
"global_object_id": 7198857782190185052,
"lane_id": 2,
"panorama_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210020000rwnwv130.jpg/static",
"pic_snapshot_dst_offset": 0,
"pic_snapshot_time": 1676252525,
"pic_snapshot_timems": 1676252525274,
"pic_snapshot_tzone": 28800000,
"plate_char": "浙XXXXXX",
"plate_color": 1,
"plate_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210080000rwnwv130.jpg/static",
"plate_pos": {
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{
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{
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