Shows high accuracy in gesture, digit, and face recognition using flexible sensors, indicating promise for future vision technologies.
Organic neuromorphic visual sensors promise to overcome the limitations of conventional image sensors, but a trade-off between efficient charge transport and charge trapping has hindered the development of interfaces that combine efficient optical sensing and non-volatile memory. Here we show that an inorganic-organic heterogeneous dielectric (Al 2 O 3 /PAA), fabricated by low-temperature plasma-enhanced atomic layer deposition and spin-coating, enables flexible thin-film transistors with integrated sensing-memory-processing functions. The devices exhibit an average mobility of 22.65 cm 2 V −1 s −1 , a 30 µs optical response to 450 nm light, charge retention exceeding ten years, write/erase endurance over 10 4 cycles, an electrical response down to 130 ns, and stable multilevel programming at 10 µs. They emulate synaptic plasticity and achieve recognition accuracies of 99.49% (gesture), 94.78% (digit) and 92.56% (face). When integrated with a convolutional neural network accelerator, the system demonstrates real-time, interference-resistant face detection, highlighting the potential of this dielectric architecture for flexible neuromorphic vision systems.
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Zhao et al. (2026) studied this question.
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