Analog Integrated Circuit for Motion Detection of Approaching Object Based on the Insect Visual System

A network for detection of an approaching object was proposed and fabricated based on the transient response of a descending contralateral movement detector (DCMD) existing in the brain of locusts. The proposed network was constructed with simple analog circuits. The experimental results of a test chip fabricated with a 1.2 $mUm complementary metal-oxide-semiconductor (CMOS) process and the results with a simulation program with integrated circuit emphasis (SPICE) showed that the proposed network is able to detect the approach by generating a peak current just before collision; the peak current allows detection of the approaching velocity and direction without collision. The proposed network could be applied to two-dimensional arrays for three-dimensional motion detection.

[1]  G. Laurent,et al.  Elementary Computation of Object Approach by a Wide-Field Visual Neuron , 1995, Science.

[2]  Masahiro Ohtani,et al.  Analog Metal-Oxide-Semiconductor Integrated Circuit Implementation of Approach Detection with Simple-Shape Recognition Based on Visual Systems of Lower Animals , 2003 .

[3]  G. Laurent,et al.  Computation of Object Approach by a Wide-Field, Motion-Sensitive Neuron , 1999, The Journal of Neuroscience.

[4]  Tetsuya Asai,et al.  Analog MOS circuits for motion detection based on correlation neural networks , 1999 .

[5]  Tetsuya Asai,et al.  Analog Metal-Oxide-Silicon IC Implementation of Motion-Detection Network Based on a Biological Correlation Model , 2000 .

[6]  David N. Lee,et al.  VISUAL CONTROL OF VELOCITY OF APPROACH BY PIGEONS WHEN LANDING , 1993 .

[7]  Masahiro Ohtani,et al.  Signal Formation of Image-Edge Motion Based on Biological Retinal Networks and Implementation into an Analog Metal-Oxide-Silicon Circuit , 2001 .

[8]  G. Laurent,et al.  Invariance of Angular Threshold Computation in a Wide-Field Looming-Sensitive Neuron , 2001, The Journal of Neuroscience.

[9]  Masahiro Ohtani,et al.  An Integrated Circuit for Two-Dimensional Edge-Detection with Local Adaptation Based on Retinal Networks , 2002 .

[10]  Carver Mead,et al.  Analog VLSI and neural systems , 1989 .

[11]  Giacomo Indiveri,et al.  System implementations of analog VLSI velocity sensors , 1996, Proceedings of Fifth International Conference on Microelectronics for Neural Networks.