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Equation 7 · Part 2 · Comparing the Main Approaches to Edge AI Electronics and Sensor Systems

Symbol N_pixels

Rframe=Npixels⋅fframe⋅b,Revent(t)≈Nactive(t)⋅beventR_{\mathrm{frame}} = N_{\mathrm{pixels}} \cdot f_{\mathrm{frame}} \cdot b, \qquad R_{\mathrm{event}}(t) \approx N_{\mathrm{active}}(t) \cdot b_{\mathrm{event}}
NpixelsN_{\mathrm{pixels}}

What this part means

NpN_pixels is one factor in the product that computes the quantity on the left.

Its job in the formula

NpN_pixels is one factor in the product that computes the quantity on the left.

The passage around this formula

…dependency from a frame sensor’s fixed-rate readout: Rframe=Npixels⋅fframe⋅b,Revent(t)≈Nactive(t)⋅beventR_{\mathrm{frame}} = N_{\mathrm{pixels}} \cdot f_{\mathrm{frame}} \cdot b, \qquad R_{\mathrm{event}}(t) \approx N_{\mathrm{active}}(t) \cdot b_{\mathrm{event}}. where Nactive(t)N_{\mathrm{active}}(t) , the number of pixels crossing threshold at a given instant, is normally far smaller than the total pixel count NpixelsN_{\mathrm{pixels}} for a mostly-static scene. That scene-dependence is also the sensor’s clearest limitation rather than a free efficiency gain: because each pixel’s operating principle is defined by Gallego and colleagues as asynchronously measuring per-pixel brightness change and encoding “the…

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