Visual object classification and detection can be performed at the edge with recent advances in CPU and GPU technologies.
The choice of AI compute can be determined by the use-case, size, weight, power and performance constraints of the platform operating at the edge.
|Parameter||ARM v8.2 + Embedded GPU||Intel i7 + Discrete GPU|
|Size||Small form-factor (105x105x65mm)||3U chassis|
|Weight||0.8 to 1.2 kgs, varies with ruggedization levels||2.2 to 2.8 kgs, varies with ruggedization levels|
|Power||30 to 40 watts||150 to 200 watts|
|Performance||High compute performance, depends on embedded GPU architecture||Higher compute performance, depends on GPU architecture|
|Cost||Relatively lower-cost||Relatively higher-cost|