The　exploration　of　bionic　neuromorphic　chips,　capable　of　processing　sensory　data　in　a　human-like　manner,　is　both　a　trend　and　a　challenge.　There　is　a　strong　demand　for　phototransistors　that　offer　broadband　in-sensor　adaptability.　This　study　introduces　a　bioinspired　vision　sensor　based　on　InP　quantum　dots　(QDs)/InSnZnO　hybrid　phototransistors.　This　novel　design　combines　the　excellent　electrical　transportation　features　of　oxide　semiconductors　with　the　superior　optoelectronic　response　of　InP　QDs.　The　resulting　hybrid　devices　exhibit　exceptional　gate　controllability　and　a　robust　visible-light　response.　These　characteristics　enable　the　emulation　of　multiple　functions　of　the　human　visual　system　and　the　accommodation　of　varying　light　intensity　environments.　Furthermore,　the　phototransistor　array　successfully　replicates　the　scotopic　and　photopic　adaptation　recognition　behaviors　of　the　human　retina.　Notably,　the　device　demonstrates　faultless　competency　in　image　processing,　achieving　an　impressive　93%　accuracy　for　digit　recognition.　These　findings　contribute　to　the　advancement　of　bionic　neuromorphic　chips　and　offer　promising　opportunities　for　future　developments　in　the　bioinspired　visual　system.　A　broadband　phototransistor　is　designed　by　combining　the　excellent　electrical　transportation　features　of　oxide　semiconductors　with　the　superior　optoelectronic　response　of　InP　quantum　dots　(QDs).　The　phototransistor　array　manifests　a　realistic　environmental　self-adaptation　process　on　perceiving　simple　letters.　Handwriting　pattern　recognition　accuracy　reaches　93%　due　to　the　satisfactory　weight　update　linearity,　demonstrating　its　faultless　competence　for　image　processing　capabilities.image