L = -1/N ∑ [y_i log(ŷ_i) + (1 - y_i) log(1 - ŷ_i)]Attention(Q, K, V) = softmax(QK^T / √d_k)Vf(x) = 1 / (1 + e^{-x})∇ × E = -∂B/∂tH(p, q) = -∑ p(x) log q(x)E[X] = ∫ x f(x) dxP(A|B) = P(B|A)P(A) / P(B)w^T x + b = 0θ_{t+1} = θ_t - η ∇_θ J(θ)
[HASANTAVISION]
PRIVACY-FIRST CV
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Privacy Desktop Software

smartblur enterprise

Built for teams that need practical anonymization, predictable licensing, and a workflow they can run without uploading sensitive footage.
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smartblur enterpriseLocal Session
Blur
Keep
00:00:12Export Ready
Detect faces
Review identities
Export anonymized copy
Privacy mode

Process source media without uploading it to Hasantavision servers.

Local-first

Designed for privacy-sensitive media workflows.

Desktop app

Built for operators who need repeatable file processing.

Edge-ready

Optimized models and licensing logic ship with the installer.

Perpetual license

One-time payment with your chosen update window.

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$99.00one-time
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  • 1 year of updates
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$199.00one-time
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  • Lifetime updates
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