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TeNizo Upgraded! 7inch IPS Touchscreen Monitor with Case, 1024x600 HD Screen Capacitive Touch Display for Raspberry Pi 4/3/2, Plug-n-Play for Windows Mac, Brightness Adjustable, Drive Free
Electronics

TeNizo Upgraded! 7inch IPS Touchscreen Monitor with Case, 1024x600 HD Screen Capacitive Touch Display for Raspberry Pi 4/3/2, Plug-n-Play for Windows Mac, Brightness Adjustable, Drive Free

★★★★4.0·117 ratings

⚡️【 High-quality Raw Materials, Excellent Precise Workmanship, Continuously Optimized & Upgraded 】- For the driver board: upgrade to adopt ENIG technology, high-end matt black appearance; For internal display screen: upgrade to adopt premium 1024x600 IPS screen with bright color, Contrast Ratio: 800:1, Brightness: 400cd/m² adjustable, Level Index up to 16.7M(8-bit). Detailed instructions, complete accessories, and timely customer service helpful email send you. ⚡️【Friendly Design & Brightness Adjustable 】- With case, the components will not be exposed. Easily mount your Pi to the back of this 7in touch screen monitor when case on. Four corner holes let you mount the small monitor onto your DIY IoT projects that you’re working on. The product itself comes with 2x copper pillar stands, and another 2 triangular tripods are also presented for you. The triangular tripods can support the screen more stably. ⚡️【 Accurate Multi-Touch, Excellent Response 】- Excellent touch sensitivity make you to slide, scroll, select, zoom in, zoom out and move the cursor in just about 3-5ms faster response time. MultiTouch delivers a EXCELLENT touch experience with pin-point accuracy, which offers 5 points of multi-touch, multi-user technology, making it easy for multiple users to collaborate and interact at the same time.

ASIN
B087JQYDN8
Embedding
CLIP ViT-L/14 · 768d
Distance metric
cosine
Doc fetch
11mscache hitGET /v2/namespaces/amazon-products/documents/B087JQYDN8
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.

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