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The global AI video surveillance hardware market is projected to nearly triple, from $8.9B in 2026 to $24.6B in 2030. That makes the choice of where AI processing happens both a performance decision and a budget decision.
đđ˛đ đ§đŽđ¸đ˛đŽđđŽđđ:
âĸ On-camera AI wins on latency and standalone reliability. Axis Communications (in-house ARTPEC chips), Hanwha Vision (dual-NPU Wisenet 9 SoC), Hikvision and Dahua Technology lead here.
âĸ Edge AI boxes win on retrofit economics.
@MotoSolutions' Avigilon and
@HanwhaVision's AIB-800 add analytics to existing, mixed-brand camera networks without replacing every camera.
âĸ Hybrid AI splits the workload. Cameras handle time-sensitive alerts, and edge devices handle cross-camera tracking and shared watchlists.
đĨđ˛đŽđą đđĩđ˛ đŗđđšđš đŽđŋđđļđ°đšđ˛:
@HikvisionUSAinc @AxisIPVideo #
VideoSurveillance# #
EdgeAI# #
AI# #
PhysicalSecurity# #
SmartCameras# #
CounterpointResearch#