3 Channel Dash Cam Front and Rear Inside, 1080P Dash Camera for Cars Triple Car Camera with IR Night Vision Loop Recording, G-Sensor, Parking Monitor, HDR

【Three Channel Dash Cam】 Three channel car camera with wide-angle 170° front camera, 150° inside camera and 150° rear camera, 1080P+720P+720P recording, capture all the datails you need, no blind spots, wider field of vision. Inside camera can be rotated 35° up and down, rear camera can be rotated 180° vertically, provide you with all-round protection, more secure driving. 【2.45-inch Screen & Superior Night Vision】 2.45inch large screen makes it easier to see when previewing, and more convenient when viewing menus and playback. Equipped with 6-glass F1.8 aperture and 4 IR LED lights, which can accurately capture the driver and passengers even when the cabin is completely dark without missing any subtleties, ideal for rideshare drivers such as Uber, Lyft and Taxi. 【24-hour Parking Monitoring and G-Sensor】 The dashcam when shake or collision is detected, the parking monitoring function enables to reord and lock, so you can rest aasured even parking and guard your car 24 hours. Gravity sensor prevents documents from being overwritten at important moments and protects evidence.

ASIN

B09Y1KMWQ3

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B09Y1KMWQ3

How it works

Similar query

22msnearest_to_id → /query

Doc fetch goes through Layer's Aerospike pull-through cache; cache hit served the row without touching turbopuffer. The similar query asks Layer for nearest neighbors of the stored product vector — queries don't go through the doc cache, so no cache header is set.