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Papan inti RK3566
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Papan inti RK3566

TC-RK3566 Highlights 1: CPU kinerja dhuwur
TC-RK3566 Highlights 2: Generasi anyar (Generasi 3) Rockchip ISP
TC-RK3566 Sorotan 3: Kemampuan decode/encode multimedia sing kuat
TC-RK3566 Sorotan 4: Unit pangolahan RKNN AI efisien terpadu

Kirim Pitakonan    Unduh PDF

Deskripsi Produk

Fitur TC-RK3566

TC-RK3566 Highlights 1: CPU kinerja dhuwur

Arsitèktur ARM anyar lan proses canggih nggawa kinerja lan efisiensi daya sing luwih dhuwur

 

TC-RK3566 Highlights 2: Generasi anyar (Generasi 3) Rockchip ISP

nganti

Fungsi HDR sing kuat ndadekake gambar cetha ing cahya mburi utawa kahanan cahya sing kuwat

Dhukungan saluran dual output zoom simultan

Fungsi noise cancellation, supaya gambar ing kondisi cahya kurang uga alus

Ndhukung fungsi defogging, bisa ndeleng kanthi jelas sanajan ing kabut

Ndhukung koreksi lateral LDCH kanggo mbusak distorsi sing disebabake dening lensa sensor


TC-RK3566 Sorotan 3: Kemampuan decode/encode multimedia sing kuat

Dhukungan 4KP60 H.264/H.265/VP9 lan format liyane HD dekoding

Ndhukung dekoding simultan saka macem-macem sumber video

Ndhukung HDR10, kinerja apik banget ing werna lan sawetara dinamis

Ndhukung post-processing gambar, deinterleaving, denoising, nambah warna, nambah resolusi

Ndhukung enkoding format 1080p 60fps H.264 lan H.265

Mendukung bit rate dinamis, frame rate, penyesuaian resolusi


TC-RK3566 Sorotan 4: Unit pangolahan RKNN AI efisien terpadu

NPU karo daya komputasi 0.8TOPs

Akselerator hardware jaringan syaraf tertanam, ndhukung operasi efisien INT8, INT16, FP16

Perangkat keras NPU ndhukung teknologi kayata penggabungan pra-proses, kuantisasi saluran, lan nol skipping

Ndhukung kompresi lossless saka parameter jaringan saraf INT8, INT16, FP16

Inti NPU ndhukung convolution biasa, convolution separable ambane, deconvolution, convolution bolongan, lapisan disambungake kanthi lengkap lan lapisan pooling

Blok internal NPU kalebu operasi tambah-tambah, aktivasi, LUT lan unit konversi presisi, lan ndhukung konstruksi lapisan khusus

Ndhukung konversi model siji-klik, ndhukung model kerangka utama Caffe/TensorFlow/TF-Lite/ONNX/PyTorch/Keras/Darknet



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Kirim Pitakonan
Mangga bebas menehi pitakon ing formulir ing ngisor iki. Kita bakal mangsuli sampeyan ing 24 jam.
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