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M3 Binocular ROHS Face Recognition Camera Module 850nm VCSEL

Price: Negotiable Get Latest Price

Brand Name: Rakinda
Model Number: M3
Minimum Order Quantity: 1pcs
Delivery Time: 5-8days
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Shenzhen Rakinda Technology Development Co., Ltd.

Shenzhen ,Guangdong

9YRS
Site Member

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Wifi 1 - 30fps WCDMA 1CH Line / MIC HD Megapixel CMOS RS485 IP Video Camera Module Boards

Price: Negotiable Get Latest Price

Brand Name: VTH
Model Number: Negotiable
Minimum Order Quantity: 5
Delivery Time: 300 sets will be delivered in 3 days
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Chanchiyo Holdings Group

Guangzhou ,Guangdong

4YRS
Verified Supplier

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{"cid":"91208930","title":"JP1126 Intelligent Dual-Lens Camera Module Up to 2.0 Tops performance, supports INT8\/INT16 5V\/1A","imgUrl":"https:\/\/img.silkroadsl.com\/nimg\/be\/e2\/2c44b86c388aa4f70389d49f674c-200x200-1.jpg","attrs":{"Price":"Negotiable","Brand Name":"Shi Zun","Model Number":"JP-1126","Minimum Order Quantity":"Negotiable","Delivery Time":"10 working days","Place of Origin":"China","Supply Ability":"100+pcs+day","Packaging Details":"84.0mm \u00d7 22.45mm \u00d7 19.35mm","Payment Terms":"T\/T","Processor":"Quad-core ARM Cortex-A7 32-bit, 1.5GHz, with integrated NEON and FPU Each core has a 32KB I-cache and 32KB D-cache, plus 512KB shared L2 cache Based on RISC-V MCU","NPU":"Up to 2.0 Tops performance, supports INT8\/INT16, strong network model compatibility, RKNN model conversion tool available for converting common AI framework models (e.g., Caffe, Darknet, MXNet, ONNX, PyTorch, TensorFlow, TFLite) and algorithm support","Memory":"1GB\/2GBDDR4","Storage":"8GB\/16GB eMMC","Video Encoding":"4KH.264\/H.26530fps 3840 x 2160@30fps + 720p@30fps encoding","Video Decoding":"4KH.264\/H.26530fps 3840 x 2160@30encoding + 3840 x 2160@30fps decoding","System Support":"Linux","Power":"5V\/1A","Operating Temperature":"-10\u2103\uff5e60\u2103","Operating Humidity":"10%\uff5e90%","Binocular Camera":"Camera\uff08IR\uff09\/ Camera\uff08RGB\uff09","Image Sensors":"GC2053 \/ GC2093","Sensor Size":"1 \/ 2.9","Resolution":"Center 800 Edge 600","Pixel Size":"2.8 \u03bcm","Output Format":"RAW","Interface":"MIPI","Focusing Distance":"80 cm","Lens":"4P","Optical Filter":"850 nm","Field of View":"D70\u00b0H62\u00b0V38\u00b0","Optical Distortion":"\u22640.5%","Focal Length":"F2.0\/4.3mm","Maximum Database":"100,000","Recommended Database":"10,000","Face Recognition Accuracy":"Standard Testing Environment, 10,000-person Database: Without Mask: False Acceptance Rate: 0.01%; Recognition Accuracy: 99% With Mask: False Acceptance Rate: 0.01%; Recognition Accuracy: 95%","Face Detection":"Face Detection Time: ~23 ms \/ Face Tracking Time: ~7 ms","Liveness Detection":"Monocular Liveness Detection Time: ~45 ms \/ Binocular Liveness Detection Time: ~15 ms","Face Comparison":"Feature Extraction Time: ~25 ms \/ Single Comparison Time: ~0.0115 ms","Recommended Image":"720P","Minimum Face Size for Recognition":"Without Liveness Detection: 50 x 50 pixels \/ With Liveness Detection: 90 x 90 pixels\uff09","Recommended Face Recognition Angles":"Yaw: \u2264 \u00b130\u00b0 Pitch: \u2264 \u00b130\u00b0 Roll: \u2264 \u00b130\u00b0","Module Size":"84.0mm \u00d7 22.45mm \u00d7 19.35mm","Enclosure Design":"Aluminum alloy material with serrated heat sink back cover for efficient cooling","Power Consumption":"Typical Power Consumption: 2.8W (5V, 560mA) \/ Maximum Power Consumption: 4.3W (5V, 860mA) \/ Minimum Power Consumption: 0.71W (5V, 142mA) \/ Power Supply Recommendation: 5V\/1.2A or higher"}}