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Rp2.358.000

Az OpenMV3 CamM7 Smart Camera Image Processing Color Shape

Rp2.358.000
  • Kondisi: Baru
  • Waktu Preorder: 20 Hari
  • Min. Pemesanan: 1 Buah
  • Etalase: Semua Etalase
OpenMV3 CamM7 Smart Camera Image Processing Color Shape Selama Barang/Produk Masih Tayang/Aktif Berarti (Stok Tersedia), Bisa Langsung Di Order/Di Beli (Tidak Perlu Chat Toko). Masukkan Keranjang Lalu Bayar. Saat itu Juga Barang/Produk Langsung Kami Kirim. Semua Produk Di Toko Kami Pre Order 6 - 15 Hari Tergantung Stok Dan Posisi Gudang Luar Negeri. Anda Order Berarti Anda Setuju Dengan Waktu Pre Order Yang Kami Tetapkan Secara Default 6 - 15 Hari. OpenMV camera is a small, low power, low cost circuit board. It helps you to complete machine vision applications easily. You can program in high-level language Python scripting instead of C / C ++. Pythons advanced data structures make it easy to process complex output in machine vision algorithms. However, you still have full control over OpenMV, including 10 pins. You can easily use an external terminal to trigger the shooting or execute the algorithm, or you can control the result of the algorithm to control 10 pins. Application: Color recognition, shape recognition, rectangle recognition, circle recognition, robot line inspection, line recognition, face recognition, edge detection, connected domain detection, optical flow, eye tracking, template matching, feature point tracking, pupil detection, two-dimensional Code recognition, barcode recognition, rectangle code recognition, AprilTag target tracking, drawing and writing, frame difference, recording video, wireless image transmission, infrared thermal imaging. Specifications: Processor: ARM 32-bit Cortex-M7 CPU w / Double Precision FPU 216 MHz (462 DMIPS), Core Mark Score: 1082 (compare w / Raspberry Pi Zero: 2060)RAM Layout: 128KB .DATA / .BSS / Heap / Stack 384KB Frame Buffer / Stack (512KB Total)Flash Layout: 32KB Bootloader, 96KB Embedded Flash Drive 1920KB Firmware (2MB TotaI)Supported image formats: Grayscale RGB565, JPEG (and BAYER)Maximum supported pixels: Grayscale: 640x480 and under RGB565: 320x240 NP1651707

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