pir dual lens camera, China pir dual lens camera products, pir dual lens camera Manufacturers, China pir dual lens camera catalog

Night Vision Infrared Hunting Camera PIR Dual Lens IP67 1080P

Price: Negotiable Get Latest Price

Brand Name: KeepGuard
Model Number: KG695
Minimum Order Quantity: 20pcs
Delivery Time: 3-7 days
view more

KEEPWAY INDUSTRIAL ( ASIA ) CO.,LTD

Guangdong

12YRS
Verified Supplier

Contact supplier Request a quote

Synchronized Tech 60FPS Dual Lens Camera Module 2.5MP 3D Stereo

Price: Negotiable Get Latest Price

Brand Name: Sinoseen
Model Number: SNS-2MP-OV9750-S1
Minimum Order Quantity: 3
Delivery Time: 2-3weeks
view more

Shenzhen Sinoseen Technology Co., Ltd

Shenzhen ,Guangdong

5YRS
Verified Supplier

Contact supplier Request a quote

{"cid":"91208930","title":"JP1126 Intelligent Dual-Lens Camera Module Up to 2.0 Tops performance, supports INT8\/INT16 5V\/1A","imgUrl":"https:\/\/img.ismap.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"}}