Mumbai: The state government is developing an Automated Multi-module Biometric Identification System (AMBIS) to detect criminals within a matter of 0.46 milliseconds with the help of seven different identification modes apart from conventional finger print method.
According to Prof Amol Deshmukh, Forensic and Investigation expect and advisor to Government of Maharashtra (GoM), with the help of mobile live scanners, a mobile police patrol party can ascertain on the spot whether a suspect has any criminal antecedents or not. Deshmukh claims that the Maharashtra is the only state in South Asia to implement AMBIS system after US and European countries.
In matters of any crime, finger print as evidence is accorded very high value and if available is accepted in a court of law. Ever since the British introduced the finger print identification in Kolkata way back in 1857, the finger print records bureau has been under the jurisdiction of the state Criminal Investigation Department (CID). But since the system crashed in 2012, the CID has been manually scanning and matching the finger print data to the available crime scene data employing eight to 10 different characteristics. The task was so huge that the CID had to go through 6.50 lakh finger print data stored with it.
Deshmukh said, “Finger print data can be shared by the state with the National Crime Records Bureau (NCRB), other state governments, other investigation agencies, courts, crime experts and even with Interpol and foreign investigation agencies. The system will prove useful in identification of unidentified bodies, especially in cases where the body is mutilated, does not have an arm or the hand is lost. In such cases the scan of the bare sole can help identify the body.”
Another major advantage of the system is that with retinal scans it will be difficult for criminals to escape the ambit of the law. At times the finger print may not be available if the criminals try to burn their hands, but they surely cannot burn retina of their eyes,” said Deshmukh.
Another added feature of the system is that it can do facial recognition of suspects in cases of mob violence and mob lynching with the help of photographs and going through CCTV footages. The system will prove handy in cases of terrorist attacks, in places of huge crowd presence like railway stations giving 50 to 60% accuracy if 40% of the information available is correct. In case of a new criminal, the system will generate a complete biometric data which will be useful in future.