{"id":9510220693655,"title":"DFROBOT C1001 60GHz mmWave Indoor Fall Detection Sensor for Arduino \/ ESP32 \/ Micro:bit (11 Meters)","handle":"dfrobot-c1001-60ghz-mmwave-indoor-fall-detection-sensor-for-arduino-esp32-micro-bit-11-meters","description":"\u003ch3\u003eDFROBOT C1001 60GHz mmWave Indoor Fall Detection Sensor for Arduino \/ ESP32 \/ Micro:bit (11 Meters)\u003c\/h3\u003e\n\u003cp id=\"b\"\u003e\u003c\/p\u003e \n\n\u003ch3\u003eProduct Features\u003c\/h3\u003e\n \u003cul class=\"a\"\u003e\n \u003cli\u003eThe C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status.\u003c\/li\u003e\n \u003cli\u003eFall detection feature: the C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status.\u003c\/li\u003e\n \u003cli\u003eSleep detection feature: the C1001 mmWave Human Detection Sensor can perceive human biological presence and movement, continuously recording human presence. Based on changes in body movement and breathing heart rate during sleep, it can make real-time judgments on the target's sleep status and breathing heart rate. After a period of sleep, it outputs a sleep score, which can be incorporated into health monitoring applications based on the output of related sleep parameters.\u003c\/li\u003e\n \u003c\/ul\u003e","published_at":"2026-03-24T06:52:47+11:00","created_at":"2026-03-24T06:52:43+11:00","vendor":"DFROBOT","type":"Motion Detectors","tags":["home_improvement_Apr2026"],"price":17100,"price_min":17100,"price_max":17100,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":47546099335319,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"B0D69WPYR3","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"DFROBOT C1001 60GHz mmWave Indoor Fall Detection Sensor for Arduino \/ ESP32 \/ Micro:bit (11 Meters)","public_title":null,"options":["Default Title"],"price":17100,"weight":109,"compare_at_price":null,"inventory_management":"shopify","barcode":"11m(Breathing Heartbeat\/Sleep Detection)","requires_selling_plan":false,"selling_plan_allocations":[],"quantity_rule":{"min":1,"max":null,"increment":1}}],"images":["\/\/newnestshop.com\/cdn\/shop\/files\/B0D69WPYR3.jpg?v=1775816062","\/\/newnestshop.com\/cdn\/shop\/files\/61AKtIYOjIL.jpg?v=1774295566","\/\/newnestshop.com\/cdn\/shop\/files\/61e_SwTWfL.jpg?v=1774295566","\/\/newnestshop.com\/cdn\/shop\/files\/61wg9thCArL.jpg?v=1774295566","\/\/newnestshop.com\/cdn\/shop\/files\/71lpKNPTm4L.jpg?v=1774295566"],"featured_image":"\/\/newnestshop.com\/cdn\/shop\/files\/B0D69WPYR3.jpg?v=1775816062","options":["Title"],"media":[{"alt":null,"id":41205546647703,"position":1,"preview_image":{"aspect_ratio":1.0,"height":1601,"width":1601,"src":"\/\/newnestshop.com\/cdn\/shop\/files\/B0D69WPYR3.jpg?v=1775816062"},"aspect_ratio":1.0,"height":1601,"media_type":"image","src":"\/\/newnestshop.com\/cdn\/shop\/files\/B0D69WPYR3.jpg?v=1775816062","width":1601},{"alt":null,"id":41205546680471,"position":2,"preview_image":{"aspect_ratio":1.0,"height":1601,"width":1601,"src":"\/\/newnestshop.com\/cdn\/shop\/files\/61AKtIYOjIL.jpg?v=1774295566"},"aspect_ratio":1.0,"height":1601,"media_type":"image","src":"\/\/newnestshop.com\/cdn\/shop\/files\/61AKtIYOjIL.jpg?v=1774295566","width":1601},{"alt":null,"id":41205546713239,"position":3,"preview_image":{"aspect_ratio":1.0,"height":1601,"width":1601,"src":"\/\/newnestshop.com\/cdn\/shop\/files\/61e_SwTWfL.jpg?v=1774295566"},"aspect_ratio":1.0,"height":1601,"media_type":"image","src":"\/\/newnestshop.com\/cdn\/shop\/files\/61e_SwTWfL.jpg?v=1774295566","width":1601},{"alt":null,"id":41205546746007,"position":4,"preview_image":{"aspect_ratio":1.0,"height":1601,"width":1601,"src":"\/\/newnestshop.com\/cdn\/shop\/files\/61wg9thCArL.jpg?v=1774295566"},"aspect_ratio":1.0,"height":1601,"media_type":"image","src":"\/\/newnestshop.com\/cdn\/shop\/files\/61wg9thCArL.jpg?v=1774295566","width":1601},{"alt":null,"id":41205546778775,"position":5,"preview_image":{"aspect_ratio":1.0,"height":1601,"width":1601,"src":"\/\/newnestshop.com\/cdn\/shop\/files\/71lpKNPTm4L.jpg?v=1774295566"},"aspect_ratio":1.0,"height":1601,"media_type":"image","src":"\/\/newnestshop.com\/cdn\/shop\/files\/71lpKNPTm4L.jpg?v=1774295566","width":1601}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003ch3\u003eDFROBOT C1001 60GHz mmWave Indoor Fall Detection Sensor for Arduino \/ ESP32 \/ Micro:bit (11 Meters)\u003c\/h3\u003e\n\u003cp id=\"b\"\u003e\u003c\/p\u003e \n\n\u003ch3\u003eProduct Features\u003c\/h3\u003e\n \u003cul class=\"a\"\u003e\n \u003cli\u003eThe C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status.\u003c\/li\u003e\n \u003cli\u003eFall detection feature: the C1001 mmWave Human Detection Sensor can accurately detect falls by implementing human posture recognition through point cloud imaging algorithms. It also offers precise life detection, accurately reporting on fall status, duration of stay, and stationary body status.\u003c\/li\u003e\n \u003cli\u003eSleep detection feature: the C1001 mmWave Human Detection Sensor can perceive human biological presence and movement, continuously recording human presence. Based on changes in body movement and breathing heart rate during sleep, it can make real-time judgments on the target's sleep status and breathing heart rate. After a period of sleep, it outputs a sleep score, which can be incorporated into health monitoring applications based on the output of related sleep parameters.\u003c\/li\u003e\n \u003c\/ul\u003e"}